generated by bibbase.org
  2024 (22)
Machine Learning Insights Into Eating Disorder Twitter Communities. Kao, H.; Erickson, I.; Chu, M. D. H.; He, Z.; Lerman, K.; and Volkova, S. In Mueller, F. '.; Kyburz, P.; Williamson, J. R.; and Sas, C., editor(s), Extended Abstracts of the CHI Conference on Human Factors in Computing Systems, CHI EA 2024, Honolulu, HI, USA, May 11-16, 2024, pages 233:1–233:8, 2024. ACM
Machine Learning Insights Into Eating Disorder Twitter Communities [link]Paper   doi   link   bibtex  
Reading Between the Tweets: Deciphering Ideological Stances of Interconnected Mixed-Ideology Communities. He, Z.; Rao, A.; Guo, S.; Mokhberian, N.; and Lerman, K. In Graham, Y.; and Purver, M., editor(s), Findings of the Association for Computational Linguistics: EACL 2024, St. Julian's, Malta, March 17-22, 2024, pages 1523–1536, 2024. Association for Computational Linguistics
Reading Between the Tweets: Deciphering Ideological Stances of Interconnected Mixed-Ideology Communities [link]Paper   link   bibtex  
Socio-Linguistic Characteristics of Coordinated Inauthentic Accounts. Burghardt, K.; Rao, A.; Chochlakis, G.; Baruah, S.; Guo, S.; He, Z.; Rojecki, A.; Narayanan, S.; and Lerman, K. In Lin, Y.; Mejova, Y.; and Cha, M., editor(s), Proceedings of the Eighteenth International AAAI Conference on Web and Social Media, ICWSM 2024, Buffalo, New York, USA, June 3-6, 2024, pages 164–176, 2024. AAAI Press
Socio-Linguistic Characteristics of Coordinated Inauthentic Accounts [link]Paper   doi   link   bibtex  
CPL-NoViD: Context-Aware Prompt-Based Learning for Norm Violation Detection in Online Communities. He, Z.; May, J.; and Lerman, K. In Lin, Y.; Mejova, Y.; and Cha, M., editor(s), Proceedings of the Eighteenth International AAAI Conference on Web and Social Media, ICWSM 2024, Buffalo, New York, USA, June 3-6, 2024, pages 569–582, 2024. AAAI Press
CPL-NoViD: Context-Aware Prompt-Based Learning for Norm Violation Detection in Online Communities [link]Paper   doi   link   bibtex  
Discovering Collective Narratives Shifts in Online Discussions. Zhao, W.; Guo, S.; Lerman, K.; and Ahn, Y. In Lin, Y.; Mejova, Y.; and Cha, M., editor(s), Proceedings of the Eighteenth International AAAI Conference on Web and Social Media, ICWSM 2024, Buffalo, New York, USA, June 3-6, 2024, pages 1804–1817, 2024. AAAI Press
Discovering Collective Narratives Shifts in Online Discussions [link]Paper   doi   link   bibtex  
IsamasRed: A Public Dataset Tracking Reddit Discussions on Israel-Hamas Conflict. Chen, K.; He, Z.; Burghardt, K.; Zhang, J.; and Lerman, K. In Lin, Y.; Mejova, Y.; and Cha, M., editor(s), Proceedings of the Eighteenth International AAAI Conference on Web and Social Media, ICWSM 2024, Buffalo, New York, USA, June 3-6, 2024, pages 1900–1912, 2024. AAAI Press
IsamasRed: A Public Dataset Tracking Reddit Discussions on Israel-Hamas Conflict [link]Paper   doi   link   bibtex  
The Pulse of Mood Online: Unveiling Emotional Reactions in a Dynamic Social Media Landscape. Guo, S.; He, Z.; Rao, A.; Morstatter, F.; Brantingham, P. J.; and Lerman, K. CoRR, abs/2401.06275. 2024.
The Pulse of Mood Online: Unveiling Emotional Reactions in a Dynamic Social Media Landscape [link]Paper   doi   link   bibtex  
IsamasRed: A Public Dataset Tracking Reddit Discussions on Israel-Hamas Conflict. Chen, K.; He, Z.; Burghardt, K.; Zhang, J.; and Lerman, K. CoRR, abs/2401.08202. 2024.
IsamasRed: A Public Dataset Tracking Reddit Discussions on Israel-Hamas Conflict [link]Paper   doi   link   bibtex  
Characterizing Online Eating Disorder Communities with Large Language Models. Chu, M. D.; Karnati, A.; He, Z.; and Lerman, K. CoRR, abs/2401.09647. 2024.
Characterizing Online Eating Disorder Communities with Large Language Models [link]Paper   doi   link   bibtex  
Reading Between the Tweets: Deciphering Ideological Stances of Interconnected Mixed-Ideology Communities. He, Z.; Rao, A.; Guo, S.; Mokhberian, N.; and Lerman, K. CoRR, abs/2402.01091. 2024.
Reading Between the Tweets: Deciphering Ideological Stances of Interconnected Mixed-Ideology Communities [link]Paper   doi   link   bibtex  
GET-Tok: A GenAI-Enriched Multimodal TikTok Dataset Documenting the 2022 Attempted Coup in Peru. Pinto, G.; Burghardt, K.; Lerman, K.; and Ferrara, E. CoRR, abs/2402.05882. 2024.
GET-Tok: A GenAI-Enriched Multimodal TikTok Dataset Documenting the 2022 Attempted Coup in Peru [link]Paper   doi   link   bibtex  
Whose Emotions and Moral Sentiments Do Language Models Reflect?. He, Z.; Guo, S.; Rao, A.; and Lerman, K. CoRR, abs/2402.11114. 2024.
Whose Emotions and Moral Sentiments Do Language Models Reflect? [link]Paper   doi   link   bibtex  
How Susceptible are Large Language Models to Ideological Manipulation?. Chen, K.; He, Z.; Yan, J.; Shi, T.; and Lerman, K. CoRR, abs/2402.11725. 2024.
How Susceptible are Large Language Models to Ideological Manipulation? [link]Paper   doi   link   bibtex  
Don't Blame the Data, Blame the Model: Understanding Noise and Bias When Learning from Subjective Annotations. Anand, A.; Mokhberian, N.; Kumar, P. N.; Saha, A.; He, Z.; Rao, A.; Morstatter, F.; and Lerman, K. CoRR, abs/2403.04085. 2024.
Don't Blame the Data, Blame the Model: Understanding Noise and Bias When Learning from Subjective Annotations [link]Paper   doi   link   bibtex  
Dynamics of Affective Polarization: From Consensus to Partisan Divides. Nettasinghe, B.; Percus, A. G.; and Lerman, K. CoRR, abs/2403.16940. 2024.
Dynamics of Affective Polarization: From Consensus to Partisan Divides [link]Paper   doi   link   bibtex  
The Strong Pull of Prior Knowledge in Large Language Models and Its Impact on Emotion Recognition. Chochlakis, G.; Potamianos, A.; Lerman, K.; and Narayanan, S. CoRR, abs/2403.17125. 2024.
The Strong Pull of Prior Knowledge in Large Language Models and Its Impact on Emotion Recognition [link]Paper   doi   link   bibtex  
Hidden in Plain Sight: Exploring the Intersections of Mental Health, Eating Disorders, and Content Moderation on TikTok. Bickham, C.; Kazemi-Nia, K.; Luceri, L.; Lerman, K.; and Ferrara, E. CoRR, abs/2404.15457. 2024.
Hidden in Plain Sight: Exploring the Intersections of Mental Health, Eating Disorders, and Content Moderation on TikTok [link]Paper   doi   link   bibtex  
Large Language Models Reveal Information Operation Goals, Tactics, and Narrative Frames. Burghardt, K.; Chen, K.; and Lerman, K. CoRR, abs/2405.03688. 2024.
Large Language Models Reveal Information Operation Goals, Tactics, and Narrative Frames [link]Paper   doi   link   bibtex  
SoMeR: Multi-View User Representation Learning for Social Media. Guo, S.; Burghardt, K.; Pantè, V.; and Lerman, K. CoRR, abs/2405.05275. 2024.
SoMeR: Multi-View User Representation Learning for Social Media [link]Paper   doi   link   bibtex  
The Peripatetic Hater: Predicting Movement Among Hate Subreddits. Hickey, D.; Fessler, D. M. T.; Lerman, K.; and Burghardt, K. CoRR, abs/2405.17410. 2024.
The Peripatetic Hater: Predicting Movement Among Hate Subreddits [link]Paper   doi   link   bibtex  
Trust and Terror: Hazards in Text Reveal Negatively Biased Credulity and Partisan Negativity Bias. Burghardt, K.; Fessler, D.; Tang, C.; Pisor, A.; and Lerman, K. CoRR, abs/2405.17838. 2024.
Trust and Terror: Hazards in Text Reveal Negatively Biased Credulity and Partisan Negativity Bias [link]Paper   doi   link   bibtex  
Hostile Counterspeech Drives Users From Hate Subreddits. Hickey, D.; Schmitz, M.; Fessler, D.; Smaldino, P. E.; Lerman, K.; Muric, G.; and Burghardt, K. CoRR, abs/2405.18374. 2024.
Hostile Counterspeech Drives Users From Hate Subreddits [link]Paper   doi   link   bibtex  
  2023 (30)
Non-conservative diffusion and its application to social network analysis. Ghosh, R.; Lerman, K.; Surachawala, T.; Voevodski, K.; and Teng, S. J. Complex Networks, 12(1). 2023.
Non-conservative diffusion and its application to social network analysis [link]Paper   doi   link   bibtex  
Retweets Amplify the Echo Chamber Effect. Rao, A.; Morstatter, F.; and Lerman, K. In Prakash, B. A.; Wang, D.; and Weninger, T., editor(s), Proceedings of the International Conference on Advances in Social Networks Analysis and Mining, ASONAM 2023, Kusadasi, Turkey, November 6-9, 2023, pages 30–37, 2023. ACM
Retweets Amplify the Echo Chamber Effect [link]Paper   doi   link   bibtex  
Measuring Online Emotional Reactions to Events. Guo, S.; He, Z.; Rao, A.; Jang, E.; Nan, Y.; Morstatter, F.; Brantingham, P. J.; and Lerman, K. In Prakash, B. A.; Wang, D.; and Weninger, T., editor(s), Proceedings of the International Conference on Advances in Social Networks Analysis and Mining, ASONAM 2023, Kusadasi, Turkey, November 6-9, 2023, pages 315–319, 2023. ACM
Measuring Online Emotional Reactions to Events [link]Paper   doi   link   bibtex  
Evaluating Content Exposure Bias in Social Networks. Bartley, N.; Burghardt, K.; and Lerman, K. In Prakash, B. A.; Wang, D.; and Weninger, T., editor(s), Proceedings of the International Conference on Advances in Social Networks Analysis and Mining, ASONAM 2023, Kusadasi, Turkey, November 6-9, 2023, pages 379–383, 2023. ACM
Evaluating Content Exposure Bias in Social Networks [link]Paper   doi   link   bibtex  
Pandemic Culture Wars: Partisan Differences in the Moral Language of COVID-19 Discussions. Rao, A.; Guo, S.; Wang, S. N.; Morstatter, F.; and Lerman, K. In He, J.; Palpanas, T.; Hu, X.; Cuzzocrea, A.; Dou, D.; Slezak, D.; Wang, W.; Gruca, A.; Lin, J. C.; and Agrawal, R., editor(s), IEEE International Conference on Big Data, BigData 2023, Sorrento, Italy, December 15-18, 2023, pages 413–422, 2023. IEEE
Pandemic Culture Wars: Partisan Differences in the Moral Language of COVID-19 Discussions [link]Paper   doi   link   bibtex  
ALCAP: Alignment-Augmented Music Captioner. He, Z.; Hao, W.; Lu, W. T.; Chen, C.; Lerman, K.; and Song, X. In Bouamor, H.; Pino, J.; and Bali, K., editor(s), Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, EMNLP 2023, Singapore, December 6-10, 2023, pages 16501–16512, 2023. Association for Computational Linguistics
ALCAP: Alignment-Augmented Music Captioner [link]Paper   doi   link   bibtex  
Leveraging Label Correlations in a Multi-Label Setting: a Case Study in Emotion. Chochlakis, G.; Mahajan, G.; Baruah, S.; Burghardt, K.; Lerman, K.; and Narayanan, S. In IEEE International Conference on Acoustics, Speech and Signal Processing ICASSP 2023, Rhodes Island, Greece, June 4-10, 2023, pages 1–5, 2023. IEEE
Leveraging Label Correlations in a Multi-Label Setting: a Case Study in Emotion [link]Paper   doi   link   bibtex  
Using Emotion Embeddings to Transfer Knowledge between Emotions, Languages, and Annotation Formats. Chochlakis, G.; Mahajan, G.; Baruah, S.; Burghardt, K.; Lerman, K.; and Narayanan, S. In IEEE International Conference on Acoustics, Speech and Signal Processing ICASSP 2023, Rhodes Island, Greece, June 4-10, 2023, pages 1–5, 2023. IEEE
Using Emotion Embeddings to Transfer Knowledge between Emotions, Languages, and Annotation Formats [link]Paper   doi   link   bibtex  
Tensor Embedding: A Supervised Framework for Human Behavioral Data Mining and Prediction. Hosseinmardi, H.; Ghasemian, A.; Lerman, K.; Narayanan, S.; and Ferrara, E. In 11th IEEE International Conference on Healthcare Informatics, ICHI 2023, Houston, TX, USA, June 26-29, 2023, pages 91–100, 2023. IEEE
Tensor Embedding: A Supervised Framework for Human Behavioral Data Mining and Prediction [link]Paper   doi   link   bibtex  
Zero-Shot Meta-Learning for Small-Scale Data From Human Subjects. Jiang, J.; Lerman, K.; and Ferrara, E. In 11th IEEE International Conference on Healthcare Informatics, ICHI 2023, Houston, TX, USA, June 26-29, 2023, pages 311–320, 2023. IEEE
Zero-Shot Meta-Learning for Small-Scale Data From Human Subjects [link]Paper   doi   link   bibtex  
A Data Fusion Framework for Multi-Domain Morality Learning. Guo, S.; Mokhberian, N.; and Lerman, K. In Lin, Y.; Cha, M.; and Quercia, D., editor(s), Proceedings of the Seventeenth International AAAI Conference on Web and Social Media, ICWSM 2023, Limassol, Cyprus, June 5-8, 2023, pages 281–291, 2023. AAAI Press
A Data Fusion Framework for Multi-Domain Morality Learning [link]Paper   doi   link   bibtex  
#RoeOverturned: Twitter Dataset on the Abortion Rights Controversy. Chang, R.; Rao, A.; Zhong, Q.; Wojcieszak, M.; and Lerman, K. In Lin, Y.; Cha, M.; and Quercia, D., editor(s), Proceedings of the Seventeenth International AAAI Conference on Web and Social Media, ICWSM 2023, Limassol, Cyprus, June 5-8, 2023, pages 997–1005, 2023. AAAI Press
#RoeOverturned: Twitter Dataset on the Abortion Rights Controversy [link]Paper   doi   link   bibtex  
Anger Breeds Controversy: Analyzing Controversy and Emotions on Reddit. Chen, K.; He, Z.; Chang, R.; May, J.; and Lerman, K. In Thomson, R.; Al-khateeb, S.; Burger, A.; Park, P. S.; and Pyke, A. A., editor(s), Social, Cultural, and Behavioral Modeling - 16th International Conference, SBP-BRiMS 2023, Pittsburgh, PA, USA, September 20-22, 2023, Proceedings, volume 14161, of Lecture Notes in Computer Science, pages 44–53, 2023. Springer
Anger Breeds Controversy: Analyzing Controversy and Emotions on Reddit [link]Paper   doi   link   bibtex  
Feedback Loops and Complex Dynamics of Harmful Speech in Online Discussions. Chang, R.; May, J.; and Lerman, K. In Thomson, R.; Al-khateeb, S.; Burger, A.; Park, P. S.; and Pyke, A. A., editor(s), Social, Cultural, and Behavioral Modeling - 16th International Conference, SBP-BRiMS 2023, Pittsburgh, PA, USA, September 20-22, 2023, Proceedings, volume 14161, of Lecture Notes in Computer Science, pages 85–94, 2023. Springer
Feedback Loops and Complex Dynamics of Harmful Speech in Online Discussions [link]Paper   doi   link   bibtex  
Data-Driven Estimation of Heterogeneous Treatment Effects. Tran, C.; Burghardt, K.; Lerman, K.; and Zheleva, E. CoRR, abs/2301.06615. 2023.
Data-Driven Estimation of Heterogeneous Treatment Effects [link]Paper   doi   link   bibtex  
Gender and Prestige Bias in Coronavirus News Reporting. Dorn, R.; Ma, Y.; Morstatter, F.; and Lerman, K. CoRR, abs/2301.11994. 2023.
Gender and Prestige Bias in Coronavirus News Reporting [link]Paper   doi   link   bibtex  
#RoeOverturned: Twitter Dataset on the Abortion Rights Controversy. Chang, R.; Rao, A.; Zhong, Q.; Wojcieszak, M.; and Lerman, K. CoRR, abs/2302.01439. 2023.
#RoeOverturned: Twitter Dataset on the Abortion Rights Controversy [link]Paper   doi   link   bibtex  
Non-Binary Gender Expression in Online Interactions. Dorn, R.; Jiang, J.; Abramson, J.; and Lerman, K. CoRR, abs/2303.04837. 2023.
Non-Binary Gender Expression in Online Interactions [link]Paper   doi   link   bibtex  
A Data Fusion Framework for Multi-Domain Morality Learning. Guo, S.; Mokhberian, N.; and Lerman, K. CoRR, abs/2304.02144. 2023.
A Data Fusion Framework for Multi-Domain Morality Learning [link]Paper   doi   link   bibtex  
Clique Densification in Networks. Pi, H.; Burghardt, K.; Percus, A. G.; and Lerman, K. CoRR, abs/2304.03479. 2023.
Clique Densification in Networks [link]Paper   doi   link   bibtex  
CPL-NoViD: Context-Aware Prompt-based Learning for Norm Violation Detection in Online Communities. He, Z.; May, J.; and Lerman, K. CoRR, abs/2305.09846. 2023.
CPL-NoViD: Context-Aware Prompt-based Learning for Norm Violation Detection in Online Communities [link]Paper   doi   link   bibtex  
Radicalized by Thinness: Using a Model of Radicalization to Understand Pro-Anorexia Communities on Twitter. Lerman, K.; Karnati, A.; Zhou, S.; Chen, S.; Kumar, S.; He, Z.; Yau, J.; and Horn, A. CoRR, abs/2305.11316. 2023.
Radicalized by Thinness: Using a Model of Radicalization to Understand Pro-Anorexia Communities on Twitter [link]Paper   doi   link   bibtex  
Socio-Linguistic Characteristics of Coordinated Inauthentic Accounts. Burghardt, K.; Rao, A.; Guo, S.; He, Z.; Chochlakis, G.; Baruah, S.; Rojecki, A.; Narayanan, S.; and Lerman, K. CoRR, abs/2305.11867. 2023.
Socio-Linguistic Characteristics of Coordinated Inauthentic Accounts [link]Paper   doi   link   bibtex  
Pandemic Culture Wars: Partisan Asymmetries in the Moral Language of COVID-19 Discussions. Rao, A.; Guo, S.; Wang, S. N.; Morstatter, F.; and Lerman, K. CoRR, abs/2305.18533. 2023.
Pandemic Culture Wars: Partisan Asymmetries in the Moral Language of COVID-19 Discussions [link]Paper   doi   link   bibtex  
Discovering collective narratives shifts in online discussions. Zhao, W.; Guo, F.; Lerman, K.; and Ahn, Y. CoRR, abs/2307.08541. 2023.
Discovering collective narratives shifts in online discussions [link]Paper   doi   link   bibtex  
Measuring Online Emotional Reactions to Offline Events. Guo, S.; He, Z.; Rao, A.; Jang, E.; Nan, Y.; Morstatter, F.; Brantingham, P. J.; and Lerman, K. CoRR, abs/2307.10245. 2023.
Measuring Online Emotional Reactions to Offline Events [link]Paper   doi   link   bibtex  
Affective Polarization in Social Networks. Feldman, D.; Rao, A.; He, Z.; and Lerman, K. CoRR, abs/2310.18553. 2023.
Affective Polarization in Social Networks [link]Paper   doi   link   bibtex  
Inducing Political Bias Allows Language Models Anticipate Partisan Reactions to Controversies. He, Z.; Guo, S.; Rao, A.; and Lerman, K. CoRR, abs/2311.09687. 2023.
Inducing Political Bias Allows Language Models Anticipate Partisan Reactions to Controversies [link]Paper   doi   link   bibtex  
Capturing Perspectives of Crowdsourced Annotators in Subjective Learning Tasks. Mokhberian, N.; Marmarelis, M. G.; Hopp, F. R.; Basile, V.; Morstatter, F.; and Lerman, K. CoRR, abs/2311.09743. 2023.
Capturing Perspectives of Crowdsourced Annotators in Subjective Learning Tasks [link]Paper   doi   link   bibtex  
Tracking a Year of Polarized Twitter Discourse on Abortion. Rao, A.; Chang, R.; Zhong, Q.; Lerman, K.; and Wojcieszak, M. CoRR, abs/2311.16831. 2023.
Tracking a Year of Polarized Twitter Discourse on Abortion [link]Paper   doi   link   bibtex  
  2022 (21)
Large-scale agent-based simulations of online social networks. Muric, G.; Tregubov, A.; Blythe, J.; Abeliuk, A.; Choudhary, D.; Lerman, K.; and Ferrara, E. Auton. Agents Multi Agent Syst., 36(2): 38. 2022.
Large-scale agent-based simulations of online social networks [link]Paper   doi   link   bibtex  
A Survey on Bias and Fairness in Machine Learning. Mehrabi, N.; Morstatter, F.; Saxena, N.; Lerman, K.; and Galstyan, A. ACM Comput. Surv., 54(6): 115:1–115:35. 2022.
A Survey on Bias and Fairness in Machine Learning [link]Paper   doi   link   bibtex  
Leveraging change point detection to discover natural experiments in data. He, Y.; Burghardt, K. A.; and Lerman, K. EPJ Data Sci., 11(1): 49. 2022.
Leveraging change point detection to discover natural experiments in data [link]Paper   doi   link   bibtex  
Road network evolution in the urban and rural United States since 1900. Burghardt, K.; Uhl, J. H.; Lerman, K.; and Leyk, S. Comput. Environ. Urban Syst., 95: 101803. 2022.
Road network evolution in the urban and rural United States since 1900 [link]Paper   doi   link   bibtex  
Learning Fairer Interventions. He, Y.; Burghardt, K.; Guo, S.; and Lerman, K. In Conitzer, V.; Tasioulas, J.; Scheutz, M.; Calo, R.; Mara, M.; and Zimmermann, A., editor(s), AIES '22: AAAI/ACM Conference on AI, Ethics, and Society, Oxford, United Kingdom, May 19 - 21, 2021, pages 317–323, 2022. ACM
Learning Fairer Interventions [link]Paper   doi   link   bibtex  
Noise Audits Improve Moral Foundation Classification. Mokhberian, N.; Hopp, F. R.; Harandizadeh, B.; Morstatter, F.; and Lerman, K. In IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining, ASONAM 2022, Istanbul, Turkey, November 10-13, 2022, pages 147–154, 2022. IEEE
Noise Audits Improve Moral Foundation Classification [link]Paper   doi   link   bibtex  
The Social Emotional Web. Lerman, K. In 8th IEEE International Conference on Collaboration and Internet Computing, CIC 2022, Atlanta, GA, USA, December 14-16, 2022, pages 26–30, 2022. IEEE
The Social Emotional Web [link]Paper   doi   link   bibtex  
Emotion Regulation and Dynamics of Moral Concerns During the Early COVID-19 Pandemic. Guo, S.; Burghardt, K.; Rao, A.; and Lerman, K. In de Melo, P. O. S. V.; Jeng, W.; and Buntain, C., editor(s), Workshop Proceedings of the 16th International AAAI Conference on Web and Social Media, ICWSM 2022 Workshops, Atlanta, Georgia, USA [hybrid], June 6, 2022, 2022.
Emotion Regulation and Dynamics of Moral Concerns During the Early COVID-19 Pandemic [link]Paper   doi   link   bibtex  
Assessing Scientific Research Papers with Knowledge Graphs. Sun, K.; Qiu, Z.; Salinas, A.; Huang, Y.; Lee, D.; Benjamin, D.; Morstatter, F.; Ren, X.; Lerman, K.; and Pujara, J. In Amigó, E.; Castells, P.; Gonzalo, J.; Carterette, B.; Culpepper, J. S.; and Kazai, G., editor(s), SIGIR '22: The 45th International ACM SIGIR Conference on Research and Development in Information Retrieval, Madrid, Spain, July 11 - 15, 2022, pages 2467–2472, 2022. ACM
Assessing Scientific Research Papers with Knowledge Graphs [link]Paper   doi   link   bibtex  
Infusing Knowledge from Wikipedia to Enhance Stance Detection. He, Z.; Mokhberian, N.; and Lerman, K. In Barnes, J.; Clercq, O. D.; Barrière, V.; Tafreshi, S.; Alqahtani, S.; Sedoc, J.; Klinger, R.; and Balahur, A., editor(s), Proceedings of the 12th Workshop on Computational Approaches to Subjectivity, Sentiment & Social Media Analysis, WASSA@ACL 2022, Dublin, Ireland, May 26, 2022, pages 71–77, 2022. Association for Computational Linguistics
Infusing Knowledge from Wikipedia to Enhance Stance Detection [link]Paper   doi   link   bibtex  
Emergent Instabilities in Algorithmic Feedback Loops. Burghardt, K.; and Lerman, K. CoRR, abs/2201.07203. 2022.
Emergent Instabilities in Algorithmic Feedback Loops [link]Paper   link   bibtex  
Partisan Asymmetries in Exposure to Misinformation. Rao, A.; Morstatter, F.; and Lerman, K. CoRR, abs/2203.01350. 2022.
Partisan Asymmetries in Exposure to Misinformation [link]Paper   doi   link   bibtex  
Emotion Regulation and Dynamics of Moral Concerns During the Early COVID-19 Pandemic. Guo, S.; Burghardt, K.; Rao, A.; and Lerman, K. CoRR, abs/2203.03608. 2022.
Emotion Regulation and Dynamics of Moral Concerns During the Early COVID-19 Pandemic [link]Paper   doi   link   bibtex  
Zero-shot meta-learning for small-scale data from human subjects. Jiang, J.; Lerman, K.; and Ferrara, E. CoRR, abs/2203.16309. 2022.
Zero-shot meta-learning for small-scale data from human subjects [link]Paper   doi   link   bibtex  
Infusing Knowledge from Wikipedia to Enhance Stance Detection. He, Z.; Mokhberian, N.; and Lerman, K. CoRR, abs/2204.03839. 2022.
Infusing Knowledge from Wikipedia to Enhance Stance Detection [link]Paper   doi   link   bibtex  
Noise Audits Improve Moral Foundation Classification. Mokhberian, N.; Hopp, F. R.; Harandizadeh, B.; Morstatter, F.; and Lerman, K. CoRR, abs/2210.07415. 2022.
Noise Audits Improve Moral Foundation Classification [link]Paper   doi   link   bibtex  
Leveraging Label Correlations in a Multi-label Setting: A Case Study in Emotion. Chochlakis, G.; Mahajan, G.; Baruah, S.; Burghardt, K.; Lerman, K.; and Narayanan, S. CoRR, abs/2210.15842. 2022.
Leveraging Label Correlations in a Multi-label Setting: A Case Study in Emotion [link]Paper   doi   link   bibtex  
Using Emotion Embeddings to Transfer Knowledge Between Emotions, Languages, and Annotation Formats. Chochlakis, G.; Mahajan, G.; Baruah, S.; Burghardt, K.; Lerman, K.; and Narayanan, S. CoRR, abs/2211.00171. 2022.
Using Emotion Embeddings to Transfer Knowledge Between Emotions, Languages, and Annotation Formats [link]Paper   doi   link   bibtex  
Retweets Distort Exposure to Polarized Information. Rao, A.; Morstatter, F.; and Lerman, K. CoRR, abs/2211.16480. 2022.
Retweets Distort Exposure to Polarized Information [link]Paper   doi   link   bibtex  
Anger Breeds Controversy: Analyzing Controversy and Emotions on Reddit. Chen, K.; He, Z.; Chang, R.; May, J.; and Lerman, K. CoRR, abs/2212.00339. 2022.
Anger Breeds Controversy: Analyzing Controversy and Emotions on Reddit [link]Paper   doi   link   bibtex  
The Social Emotional Web. Lerman, K. CoRR, abs/2212.03810. 2022.
The Social Emotional Web [link]Paper   doi   link   bibtex  
  2021 (26)
Explaining classification performance and bias via network structure and sampling technique. Espín-Noboa, L.; Karimi, F.; Ribeiro, B.; Lerman, K.; and Wagner, C. Appl. Netw. Sci., 6(1): 78. 2021.
Explaining classification performance and bias via network structure and sampling technique [link]Paper   doi   link   bibtex  
Scale-free degree distributions, homophily and the glass ceiling effect in directed networks. Nettasinghe, B.; Alipourfard, N.; Iota, S.; Krishnamurthy, V.; and Lerman, K. J. Complex Networks, 10(2). 2021.
Scale-free degree distributions, homophily and the glass ceiling effect in directed networks [link]Paper   doi   link   bibtex  
Socioeconomic Correlates of Anti-Science Attitudes in the US. Hu, M.; Rao, A.; Kejriwal, M.; and Lerman, K. Future Internet, 13(6): 160. 2021.
Socioeconomic Correlates of Anti-Science Attitudes in the US [link]Paper   doi   link   bibtex   2 downloads  
Follow the leader: Documents on the leading edge of semantic change get more citations. Soni, S.; Lerman, K.; and Eisenstein, J. J. Assoc. Inf. Sci. Technol., 72(4): 478–492. 2021.
Follow the leader: Documents on the leading edge of semantic change get more citations [link]Paper   doi   link   bibtex  
The Wide, the Deep, and the Maverick: Types of Players in Team-based Online Games. Jiang, J.; Maldeniya, D.; Lerman, K.; and Ferrara, E. Proc. ACM Hum. Comput. Interact., 5(CSCW1): 191:1–191:26. 2021.
The Wide, the Deep, and the Maverick: Types of Players in Team-based Online Games [link]Paper   doi   link   bibtex  
BD2K Training Coordinating Center's ERuDIte: The Educational Resource Discovery Index for Data Science. Ambite, J. L.; Fierro, L.; Gordon, J.; Burns, G. A. P. C.; Geigl, F.; Lerman, K.; and Horn, J. D. V. IEEE Trans. Emerg. Top. Comput., 9(1): 316–328. 2021.
BD2K Training Coordinating Center's ERuDIte: The Educational Resource Discovery Index for Data Science [link]Paper   doi   link   bibtex  
Mitigating the Bias of Heterogeneous Human Behavior in Affective Computing. Yan, S.; Kao, H.; Lerman, K.; Narayanan, S.; and Ferrara, E. In 9th International Conference on Affective Computing and Intelligent Interaction, ACII 2021, Nara, Japan, September 28 - Oct. 1, 2021, pages 1–8, 2021. IEEE
Mitigating the Bias of Heterogeneous Human Behavior in Affective Computing [link]Paper   doi   link   bibtex  
Detecting Polarized Topics Using Partisanship-aware Contextualized Topic Embeddings. He, Z.; Mokhberian, N.; Câmara, A.; Abeliuk, A.; and Lerman, K. In Moens, M.; Huang, X.; Specia, L.; and Yih, S. W., editor(s), Findings of the Association for Computational Linguistics: EMNLP 2021, Virtual Event / Punta Cana, Dominican Republic, 16-20 November, 2021, pages 2102–2118, 2021. Association for Computational Linguistics
Detecting Polarized Topics Using Partisanship-aware Contextualized Topic Embeddings [link]Paper   doi   link   bibtex  
Speaker Turn Modeling for Dialogue Act Classification. He, Z.; Tavabi, L.; Lerman, K.; and Soleymani, M. In Moens, M.; Huang, X.; Specia, L.; and Yih, S. W., editor(s), Findings of the Association for Computational Linguistics: EMNLP 2021, Virtual Event / Punta Cana, Dominican Republic, 16-20 November, 2021, pages 2150–2157, 2021. Association for Computational Linguistics
Speaker Turn Modeling for Dialogue Act Classification [link]Paper   doi   link   bibtex  
Heterogeneous Effects of Software Patches in aMultiplayer Online Battle Arena Game. He, Y.; Tran, C.; Jiang, J.; Burghardt, K.; Ferrara, E.; Zheleva, E.; and Lerman, K. In Fowler, A.; Pirker, J.; Canossa, A.; Arya, A.; and Harteveld, C., editor(s), FDG'21: The 16th International Conference on the Foundations of Digital Games 2021, Montreal, QC, Canada, August 3-6, 2021, pages 11:1–11:9, 2021. ACM
Heterogeneous Effects of Software Patches in aMultiplayer Online Battle Arena Game [link]Paper   doi   link   bibtex  
Mapping Moral Valence of Tweets Following The Killing of George Floyd. Priniski, J. H.; Mokhberian, N.; Harandizadeh, B.; Morstatter, F.; Lerman, K.; Lu, H.; and Brantingham, P. J. In Balalau, O.; Ognyanova, K.; and Romero, D. M., editor(s), Workshop Proceedings of the 15th International AAAI Conference on Web and Social Media, ICWSM 2021 Workshops, [virtual], June 7, 2021, 2021.
Mapping Moral Valence of Tweets Following The Killing of George Floyd [link]Paper   doi   link   bibtex  
Identifying Shifts in Collective Attention to Topics on Social Media. He, Y.; Rao, A.; Burghardt, K.; and Lerman, K. In Thomson, R.; Hussain, M. N.; Dancy, C. L.; and Pyke, A., editor(s), Social, Cultural, and Behavioral Modeling - 14th International Conference, SBP-BRiMS 2021, Virtual Event, July 6-9, 2021, Proceedings, volume 12720, of Lecture Notes in Computer Science, pages 224–234, 2021. Springer
Identifying Shifts in Collective Attention to Topics on Social Media [link]Paper   doi   link   bibtex  
Having a Bad Day? Detecting the Impact of Atypical Events Using Wearable Sensors. Burghardt, K.; Tavabi, N.; Ferrara, E.; Narayanan, S.; and Lerman, K. In Thomson, R.; Hussain, M. N.; Dancy, C. L.; and Pyke, A., editor(s), Social, Cultural, and Behavioral Modeling - 14th International Conference, SBP-BRiMS 2021, Virtual Event, July 6-9, 2021, Proceedings, volume 12720, of Lecture Notes in Computer Science, pages 257–267, 2021. Springer
Having a Bad Day? Detecting the Impact of Atypical Events Using Wearable Sensors [link]Paper   doi   link   bibtex  
Limiting Tags Fosters Efficiency. Santos, T.; Burghardt, K.; Lerman, K.; and Helic, D. In Hooper, C.; Weber, M.; Weller, K.; Hall, W.; Contractor, N.; and Tang, J., editor(s), WebSci '21: 13th ACM Web Science Conference 2021, Virtual Event, United Kingdom, June 21-25, 2021, pages 46–55, 2021. ACM
Limiting Tags Fosters Efficiency [link]Paper   doi   link   bibtex  
Auditing Algorithmic Bias on Twitter. Bartley, N.; Abeliuk, A.; Ferrara, E.; and Lerman, K. In Hooper, C.; Weber, M.; Weller, K.; Hall, W.; Contractor, N.; and Tang, J., editor(s), WebSci '21: 13th ACM Web Science Conference 2021, Virtual Event, United Kingdom, June 21-25, 2021, pages 65–73, 2021. ACM
Auditing Algorithmic Bias on Twitter [link]Paper   doi   link   bibtex  
A Model of Densifying Collaboration Networks. Burghardt, K. A.; Percus, A. G.; and Lerman, K. CoRR, abs/2101.11056. 2021.
A Model of Densifying Collaboration Networks [link]Paper   link   bibtex  
Individualized Context-Aware Tensor Factorization for Online Games Predictions. Jiang, J.; Lerman, K.; and Ferrara, E. CoRR, abs/2102.11352. 2021.
Individualized Context-Aware Tensor Factorization for Online Games Predictions [link]Paper   link   bibtex  
Emergence of Structural Inequalities in Scientific Citation Networks. Nettasinghe, B.; Alipourfard, N.; Krishnamurthy, V.; and Lerman, K. CoRR, abs/2103.10944. 2021.
Emergence of Structural Inequalities in Scientific Citation Networks [link]Paper   link   bibtex  
A Directed, Bi-Populated Preferential Attachment Model with Applications to Analyzing the Glass Ceiling Effect. Nettasinghe, B.; Alipourfard, N.; Krishnamurthy, V.; and Lerman, K. CoRR, abs/2103.12149. 2021.
A Directed, Bi-Populated Preferential Attachment Model with Applications to Analyzing the Glass Ceiling Effect [link]Paper   link   bibtex  
Limiting Tags Fosters Efficiency. Santos, T.; Burghardt, K.; Lerman, K.; and Helic, D. CoRR, abs/2104.01028. 2021.
Limiting Tags Fosters Efficiency [link]Paper   link   bibtex  
Detecting Polarized Topics in COVID-19 News Using Partisanship-aware Contextualized Topic Embeddings. He, Z.; Mokhberian, N.; Câmara, A.; Abeliuk, A.; and Lerman, K. CoRR, abs/2104.07814. 2021.
Detecting Polarized Topics in COVID-19 News Using Partisanship-aware Contextualized Topic Embeddings [link]Paper   link   bibtex  
Mapping Moral Valence of Tweets Following the Killing of George Floyd. Priniski, J. H.; Mokhberian, N.; Harandizadeh, B.; Morstatter, F.; Lerman, K.; Lu, H.; and Brantingham, P. J. CoRR, abs/2104.09578. 2021.
Mapping Moral Valence of Tweets Following the Killing of George Floyd [link]Paper   link   bibtex  
Pattern Discovery in Time Series with Byte Pair Encoding. Tavabi, N.; and Lerman, K. CoRR, abs/2106.00614. 2021.
Pattern Discovery in Time Series with Byte Pair Encoding [link]Paper   link   bibtex  
DoGR: Disaggregated Gaussian Regression for Reproducible Analysis of Heterogeneous Data. Alipourfard, N.; Burghardt, K.; and Lerman, K. CoRR, abs/2108.13581. 2021.
DoGR: Disaggregated Gaussian Regression for Reproducible Analysis of Heterogeneous Data [link]Paper   link   bibtex  
Speaker Turn Modeling for Dialogue Act Classification. He, Z.; Tavabi, L.; Lerman, K.; and Soleymani, M. CoRR, abs/2109.05056. 2021.
Speaker Turn Modeling for Dialogue Act Classification [link]Paper   link   bibtex  
Heterogeneous Effects of Software Patches in a Multiplayer Online Battle Arena Game. He, Y.; Tran, C.; Jiang, J.; Burghardt, K.; Ferrara, E.; Zheleva, E.; and Lerman, K. CoRR, abs/2110.14632. 2021.
Heterogeneous Effects of Software Patches in a Multiplayer Online Battle Arena Game [link]Paper   link   bibtex  
  2020 (24)
User-Based Collaborative Filtering Mobile Health System. Kao, H.; Yan, S.; Hosseinmardi, H.; Narayanan, S.; Lerman, K.; and Ferrara, E. Proc. ACM Interact. Mob. Wearable Ubiquitous Technol., 4(4): 165:1–165:17. 2020.
User-Based Collaborative Filtering Mobile Health System [link]Paper   doi   link   bibtex  
Affect Estimation with Wearable Sensors. Yan, S.; Hosseinmardi, H.; Kao, H.; Narayanan, S.; Lerman, K.; and Ferrara, E. J. Heal. Informatics Res., 4(3): 261–294. 2020.
Affect Estimation with Wearable Sensors [link]Paper   doi   link   bibtex  
Origins of Algorithmic Instabilities in Crowdsourced Ranking. Burghardt, K.; Hogg, T.; D'Souza, R. M.; Lerman, K.; and Pósfai, M. Proc. ACM Hum. Comput. Interact., 4(CSCW2): 166:1–166:20. 2020.
Origins of Algorithmic Instabilities in Crowdsourced Ranking [link]Paper   doi   link   bibtex  
Diffusion in Social Networks: Effects of Monophilic Contagion, Friendship Paradox, and Reactive Networks. Nettasinghe, B.; Krishnamurthy, V.; and Lerman, K. IEEE Trans. Netw. Sci. Eng., 7(3): 1121–1132. 2020.
Diffusion in Social Networks: Effects of Monophilic Contagion, Friendship Paradox, and Reactive Networks [link]Paper   doi   link   bibtex  
A Geometric Solution to Fair Representations. He, Y.; Burghardt, K.; and Lerman, K. In Markham, A. N.; Powles, J.; Walsh, T.; and Washington, A. L., editor(s), AIES '20: AAAI/ACM Conference on AI, Ethics, and Society, New York, NY, USA, February 7-8, 2020, pages 279–285, 2020. ACM
A Geometric Solution to Fair Representations [link]Paper   doi   link   bibtex  
Massive Cross-Platform Simulations of Online Social Networks. Muric, G.; Tregubov, A.; Blythe, J.; Abeliuk, A.; Choudhary, D.; Lerman, K.; and Ferrara, E. In Seghrouchni, A. E. F.; Sukthankar, G.; An, B.; and Yorke-Smith, N., editor(s), Proceedings of the 19th International Conference on Autonomous Agents and Multiagent Systems, AAMAS '20, Auckland, New Zealand, May 9-13, 2020, pages 895–903, 2020. International Foundation for Autonomous Agents and Multiagent Systems
Massive Cross-Platform Simulations of Online Social Networks [link]Paper   doi   link   bibtex  
Individualized Context-Aware Tensor Factorization for Online Games Predictions. Jiang, J.; Lerman, K.; and Ferrara, E. In Fatta, G. D.; Sheng, V. S.; Cuzzocrea, A.; Zaniolo, C.; and Wu, X., editor(s), 20th International Conference on Data Mining Workshops, ICDM Workshops 2020, Sorrento, Italy, November 17-20, 2020, pages 292–299, 2020. IEEE
Individualized Context-Aware Tensor Factorization for Online Games Predictions [link]Paper   doi   link   bibtex  
Can Badges Foster a More Welcoming Culture on Q&A Boards?. Santos, T.; Burghardt, K.; Lerman, K.; and Helic, D. In Choudhury, M. D.; Chunara, R.; Culotta, A.; and Welles, B. F., editor(s), Proceedings of the Fourteenth International AAAI Conference on Web and Social Media, ICWSM 2020, Held Virtually, Original Venue: Atlanta, Georgia, USA, June 8-11, 2020, pages 969–973, 2020. AAAI Press
Can Badges Foster a More Welcoming Culture on Q&A Boards? [link]Paper   link   bibtex  
Learning Behavioral Representations from Wearable Sensors. Tavabi, N.; Hosseinmardi, H.; Villatte, J. L.; Abeliuk, A.; Narayanan, S.; Ferrara, E.; and Lerman, K. In Thomson, R.; Bisgin, H.; Dancy, C. L.; Hyder, A.; and Hussain, M., editor(s), Social, Cultural, and Behavioral Modeling - 13th International Conference, SBP-BRiMS 2020, Washington, DC, USA, October 18-21, 2020, Proceedings, volume 12268, of Lecture Notes in Computer Science, pages 245–254, 2020. Springer
Learning Behavioral Representations from Wearable Sensors [link]Paper   doi   link   bibtex  
Moral Framing and Ideological Bias of News. Mokhberian, N.; Abeliuk, A.; Cummings, P.; and Lerman, K. In Aref, S.; Bontcheva, K.; Braghieri, M.; Dignum, F.; Giannotti, F.; Grisolia, F.; and Pedreschi, D., editor(s), Social Informatics - 12th International Conference, SocInfo 2020, Pisa, Italy, October 6-9, 2020, Proceedings, volume 12467, of Lecture Notes in Computer Science, pages 206–219, 2020. Springer
Moral Framing and Ideological Bias of News [link]Paper   doi   link   bibtex  
Challenges in Forecasting Malicious Events from Incomplete Data. Tavabi, N.; Abeliuk, A.; Mokhberian, N.; Abramson, J.; and Lerman, K. In Seghrouchni, A. E. F.; Sukthankar, G.; Liu, T.; and van Steen, M., editor(s), Companion of The 2020 Web Conference 2020, Taipei, Taiwan, April 20-24, 2020, pages 603–610, 2020. ACM / IW3C2
Challenges in Forecasting Malicious Events from Incomplete Data [link]Paper   doi   link   bibtex   48 downloads  
Graph Embedding with Personalized Context Distribution. Huang, D.; He, Z.; Huang, Y.; Sun, K.; Abu-El-Haija, S.; Perozzi, B.; Lerman, K.; Morstatter, F.; and Galstyan, A. In Seghrouchni, A. E. F.; Sukthankar, G.; Liu, T.; and van Steen, M., editor(s), Companion of The 2020 Web Conference 2020, Taipei, Taiwan, April 20-24, 2020, pages 655–661, 2020. ACM / IW3C2
Graph Embedding with Personalized Context Distribution [link]Paper   doi   link   bibtex  
Predictability limit of partially observed systems. Abeliuk, A.; Huang, Z.; Ferrara, E.; and Lerman, K. CoRR, abs/2001.06547. 2020.
Predictability limit of partially observed systems [link]Paper   link   bibtex  
COVID-19: The First Public Coronavirus Twitter Dataset. Chen, E.; Lerman, K.; and Ferrara, E. CoRR, abs/2003.07372. 2020.
COVID-19: The First Public Coronavirus Twitter Dataset [link]Paper   link   bibtex  
TILES-2018: A longitudinal physiologic and behavioral data set of hospital workers. Mundnich, K.; Booth, B. M.; L'Hommedieu, M.; Feng, T.; Girault, B.; L'Hommedieu, J.; Wildman, M.; Skaaden, S.; Nadarajan, A.; Villatte, J. L.; Falk, T. H.; Lerman, K.; Ferrara, E.; and Narayanan, S. CoRR, abs/2003.08474. 2020.
TILES-2018: A longitudinal physiologic and behavioral data set of hospital workers [link]Paper   link   bibtex  
Challenges in Forecasting Malicious Events from Incomplete Data. Tavabi, N.; Abeliuk, A.; Mokhberian, N.; Abramson, J.; and Lerman, K. CoRR, abs/2004.04597. 2020.
Challenges in Forecasting Malicious Events from Incomplete Data [link]Paper   link   bibtex   48 downloads  
Systematic Biases in Aggregated COVID-19 Growth Rates. Burghardt, K.; and Lerman, K. CoRR, abs/2004.12994. 2020.
Systematic Biases in Aggregated COVID-19 Growth Rates [link]Paper   link   bibtex  
COVID-19 amplifies gender disparities in research. Muric, G.; Lerman, K.; and Ferrara, E. CoRR, abs/2006.06142. 2020.
COVID-19 amplifies gender disparities in research [link]Paper   link   bibtex  
Having a Bad Day? Detecting the Impact of Atypical Life Events Using Wearable Sensors. Burghardt, K.; Tavabi, N.; Ferrara, E.; Narayanan, S.; and Lerman, K. CoRR, abs/2008.01723. 2020.
Having a Bad Day? Detecting the Impact of Atypical Life Events Using Wearable Sensors [link]Paper   link   bibtex  
Moral Framing and Ideological Bias of News. Mokhberian, N.; Abeliuk, A.; Cummings, P.; and Lerman, K. CoRR, abs/2009.12979. 2020.
Moral Framing and Ideological Bias of News [link]Paper   link   bibtex  
The Leaky Pipeline in Physics Publishing. Ross, C. O.; Gupta, A.; Mehrabi, N.; Muric, G.; and Lerman, K. CoRR, abs/2010.08912. 2020.
The Leaky Pipeline in Physics Publishing [link]Paper   link   bibtex  
Origins of Algorithmic Instabilities in Crowdsourced Ranking. Burghardt, K.; Hogg, T.; D'Souza, R. M.; Lerman, K.; and Pósfai, M. CoRR, abs/2010.12571. 2020.
Origins of Algorithmic Instabilities in Crowdsourced Ranking [link]Paper   link   bibtex  
Inherent Trade-offs in the Fair Allocation of Treatments. He, Y.; Burghardt, K.; Guo, S.; and Lerman, K. CoRR, abs/2010.16409. 2020.
Inherent Trade-offs in the Fair Allocation of Treatments [link]Paper   link   bibtex  
Political Partisanship and Anti-Science Attitudes in Online Discussions about Covid-19. Rao, A.; Morstatter, F.; Hu, M.; Chen, E.; Burghardt, K.; Ferrara, E.; and Lerman, K. CoRR, abs/2011.08498. 2020.
Political Partisanship and Anti-Science Attitudes in Online Discussions about Covid-19 [link]Paper   link   bibtex  
  2019 (25)
Predicting and explaining behavioral data with structured feature space decomposition. Fennell, P. G.; Zuo, Z.; and Lerman, K. EPJ Data Sci., 8(1): 23:1–23:27. 2019.
Predicting and explaining behavioral data with structured feature space decomposition [link]Paper   doi   link   bibtex  
Collaboration Drives Individual Productivity. Muric, G.; Abeliuk, A.; Lerman, K.; and Ferrara, E. Proc. ACM Hum. Comput. Interact., 3(CSCW): 74:1–74:24. 2019.
Collaboration Drives Individual Productivity [link]Paper   doi   link   bibtex  
Characterizing the 2016 Russian IRA influence campaign. Badawy, A.; Addawood, A.; Lerman, K.; and Ferrara, E. Soc. Netw. Anal. Min., 9(1): 31:1–31:11. 2019.
Characterizing the 2016 Russian IRA influence campaign [link]Paper   doi   link   bibtex  
The DARPA SocialSim Challenge: Massive Multi-Agent Simulations of the Github Ecosystem. Blythe, J.; Ferrara, E.; Huang, D.; Lerman, K.; Muric, G.; Sapienza, A.; Tregubov, A.; Pacheco, D.; Bollenbacher, J.; Flammini, A.; Hui, P.; and Menczer, F. In Elkind, E.; Veloso, M.; Agmon, N.; and Taylor, M. E., editor(s), Proceedings of the 18th International Conference on Autonomous Agents and MultiAgent Systems, AAMAS '19, Montreal, QC, Canada, May 13-17, 2019, pages 1835–1837, 2019. International Foundation for Autonomous Agents and Multiagent Systems
The DARPA SocialSim Challenge: Massive Multi-Agent Simulations of the Github Ecosystem [link]Paper   link   bibtex   5 downloads  
Estimating Individualized Daily Self-Reported Affect with Wearable Sensors. Yan, S.; Hosseinmardi, H.; Kao, H.; Narayanan, S. S.; Lerman, K.; and Ferrara, E. In 2019 IEEE International Conference on Healthcare Informatics, ICHI 2019, Xi'an, China, June 10-13, 2019, pages 1–9, 2019. IEEE
Estimating Individualized Daily Self-Reported Affect with Wearable Sensors [link]Paper   doi   link   bibtex  
MixHop: Higher-Order Graph Convolutional Architectures via Sparsified Neighborhood Mixing. Abu-El-Haija, S.; Perozzi, B.; Kapoor, A.; Alipourfard, N.; Lerman, K.; Harutyunyan, H.; Steeg, G. V.; and Galstyan, A. In Chaudhuri, K.; and Salakhutdinov, R., editor(s), Proceedings of the 36th International Conference on Machine Learning, ICML 2019, 9-15 June 2019, Long Beach, California, USA, volume 97, of Proceedings of Machine Learning Research, pages 21–29, 2019. PMLR
MixHop: Higher-Order Graph Convolutional Architectures via Sparsified Neighborhood Mixing [link]Paper   link   bibtex  
Linguistic Cues to Deception: Identifying Political Trolls on Social Media. Addawood, A.; Badawy, A.; Lerman, K.; and Ferrara, E. In Pfeffer, J.; Budak, C.; Lin, Y.; and Morstatter, F., editor(s), Proceedings of the Thirteenth International Conference on Web and Social Media, ICWSM 2019, Munich, Germany, June 11-14, 2019, pages 15–25, 2019. AAAI Press
Linguistic Cues to Deception: Identifying Political Trolls on Social Media [link]Paper   link   bibtex  
Massive Multi-agent Data-Driven Simulations of the GitHub Ecosystem. Blythe, J.; Bollenbacher, J.; Huang, D.; Hui, P.; Krohn, R.; Pacheco, D.; Muric, G.; Sapienza, A.; Tregubov, A.; Ahn, Y.; Flammini, A.; Lerman, K.; Menczer, F.; Weninger, T.; and Ferrara, E. In Demazeau, Y.; Matson, E.; Corchado, J. M.; and de la Prieta, F., editor(s), Advances in Practical Applications of Survivable Agents and Multi-Agent Systems: The PAAMS Collection - 17th International Conference, PAAMS 2019, Ávila, Spain, June 26-28, 2019, Proceedings, volume 11523, of Lecture Notes in Computer Science, pages 3–15, 2019. Springer
Massive Multi-agent Data-Driven Simulations of the GitHub Ecosystem [link]Paper   doi   link   bibtex   14 downloads  
Who Falls for Online Political Manipulation?. Badawy, A.; Lerman, K.; and Ferrara, E. In Amer-Yahia, S.; Mahdian, M.; Goel, A.; Houben, G.; Lerman, K.; McAuley, J. J.; Baeza-Yates, R.; and Zia, L., editor(s), Companion of The 2019 World Wide Web Conference, WWW 2019, San Francisco, CA, USA, May 13-17, 2019, pages 162–168, 2019. ACM
Who Falls for Online Political Manipulation? [link]Paper   doi   link   bibtex  
Characterizing Activity on the Deep and Dark Web. Tavabi, N.; Bartley, N.; Abeliuk, A.; Soni, S.; Ferrara, E.; and Lerman, K. In Amer-Yahia, S.; Mahdian, M.; Goel, A.; Houben, G.; Lerman, K.; McAuley, J. J.; Baeza-Yates, R.; and Zia, L., editor(s), Companion of The 2019 World Wide Web Conference, WWW 2019, San Francisco, CA, USA, May 13-17, 2019, pages 206–213, 2019. ACM
Characterizing Activity on the Deep and Dark Web [link]Paper   doi   link   bibtex  
Finding Prerequisite Relations using the Wikipedia Clickstream. Sayyadiharikandeh, M.; Gordon, J.; Ambite, J. L.; and Lerman, K. In Amer-Yahia, S.; Mahdian, M.; Goel, A.; Houben, G.; Lerman, K.; McAuley, J. J.; Baeza-Yates, R.; and Zia, L., editor(s), Companion of The 2019 World Wide Web Conference, WWW 2019, San Francisco, CA, USA, May 13-17, 2019, pages 1240–1247, 2019. ACM
Finding Prerequisite Relations using the Wikipedia Clickstream [link]Paper   doi   link   bibtex  
Proceedings of the Twelfth ACM International Conference on Web Search and Data Mining, WSDM 2019, Melbourne, VIC, Australia, February 11-15, 2019. Culpepper, J. S.; Moffat, A.; Bennett, P. N.; and Lerman, K., editors. ACM. 2019.
Proceedings of the Twelfth ACM International Conference on Web Search and Data Mining, WSDM 2019, Melbourne, VIC, Australia, February 11-15, 2019 [link]Paper   doi   link   bibtex  
Companion of The 2019 World Wide Web Conference, WWW 2019, San Francisco, CA, USA, May 13-17, 2019. Amer-Yahia, S.; Mahdian, M.; Goel, A.; Houben, G.; Lerman, K.; McAuley, J. J.; Baeza-Yates, R.; and Zia, L., editors. ACM. 2019.
Companion of The 2019 World Wide Web Conference, WWW 2019, San Francisco, CA, USA, May 13-17, 2019 [link]Paper   doi   link   bibtex  
Characterizing Activity on the Deep and Dark Web. Tavabi, N.; Bartley, N.; Abeliuk, A.; Soni, S.; Ferrara, E.; and Lerman, K. CoRR, abs/1903.00156. 2019.
Characterizing Activity on the Deep and Dark Web [link]Paper   link   bibtex  
MixHop: Higher-Order Graph Convolutional Architectures via Sparsified Neighborhood Mixing. Abu-El-Haija, S.; Perozzi, B.; Kapoor, A.; Harutyunyan, H.; Alipourfard, N.; Lerman, K.; Steeg, G. V.; and Galstyan, A. CoRR, abs/1905.00067. 2019.
MixHop: Higher-Order Graph Convolutional Architectures via Sparsified Neighborhood Mixing [link]Paper   link   bibtex  
Friendship Paradox Biases Perceptions in Directed Networks. Alipourfard, N.; Nettasinghe, B.; Abeliuk, A.; Krishnamurthy, V.; and Lerman, K. CoRR, abs/1905.05286. 2019.
Friendship Paradox Biases Perceptions in Directed Networks [link]Paper   link   bibtex  
Discovering Hidden Structure in High Dimensional Human Behavioral Data via Tensor Factorization. Hosseinmardi, H.; Kao, H.; Lerman, K.; and Ferrara, E. CoRR, abs/1905.08846. 2019.
Discovering Hidden Structure in High Dimensional Human Behavioral Data via Tensor Factorization [link]Paper   link   bibtex  
Massive Multi-Agent Data-Driven Simulations of the GitHub Ecosystem. Blythe, J.; Bollenbacher, J.; Huang, D.; Hui, P.; Krohn, R.; Pacheco, D.; Muric, G.; Sapienza, A.; Tregubov, A.; Ahn, Y.; Flammini, A.; Lerman, K.; Menczer, F.; Weninger, T.; and Ferrara, E. CoRR, abs/1908.05437. 2019.
Massive Multi-Agent Data-Driven Simulations of the GitHub Ecosystem [link]Paper   link   bibtex   14 downloads  
A Survey on Bias and Fairness in Machine Learning. Mehrabi, N.; Morstatter, F.; Saxena, N.; Lerman, K.; and Galstyan, A. CoRR, abs/1908.09635. 2019.
A Survey on Bias and Fairness in Machine Learning [link]Paper   link   bibtex  
Follow the Leader: Documents on the Leading Edge of Semantic Change Get More Citations. Soni, S.; Lerman, K.; and Eisenstein, J. CoRR, abs/1909.04189. 2019.
Follow the Leader: Documents on the Leading Edge of Semantic Change Get More Citations [link]Paper   link   bibtex  
Quantifying the Impact of Cognitive Biases in Question-Answering Systems. Burghardt, K.; Hogg, T.; and Lerman, K. CoRR, abs/1909.09633. 2019.
Quantifying the Impact of Cognitive Biases in Question-Answering Systems [link]Paper   link   bibtex  
Learning Fair and Interpretable Representations via Linear Orthogonalization. He, Y.; Burghardt, K.; and Lerman, K. CoRR, abs/1910.12854. 2019.
Learning Fair and Interpretable Representations via Linear Orthogonalization [link]Paper   link   bibtex  
Learning Behavioral Representations from Wearable Sensors. Tavabi, N.; Hosseinmardi, H.; Villatte, J. L.; Abeliuk, A.; Narayanan, S. S.; Ferrara, E.; and Lerman, K. CoRR, abs/1911.06959. 2019.
Learning Behavioral Representations from Wearable Sensors [link]Paper   link   bibtex  
Collaboration Drives Individual Productivity. Muric, G.; Abeliuk, A.; Lerman, K.; and Ferrara, E. CoRR, abs/1911.11787. 2019.
Collaboration Drives Individual Productivity [link]Paper   link   bibtex  
Advancing the international data science workforce through shared training and education. Horn, J. D. V.; Abe, S.; Ambite, J. L.; Attwood, T. K.; Beard, N.; Bellis, L.; Bhattrai, A.; Bui, A. A. T.; Burns, G.; Fierro, L.; Gordon, J.; Grethe, J. S.; Kamdar, J.; Lei, X.; Lerman, K.; McGrath, A.; Mulder, N. J.; O'Driscoll, C.; Stewart, C.; and Tyagi, S. F1000Research, 8: 251. 2019.
Advancing the international data science workforce through shared training and education [link]Paper   doi   link   bibtex  
  2018 (31)
Predicting Cyber-Events by Leveraging Hacker Sentiment. Deb, A.; Lerman, K.; and Ferrara, E. Inf., 9(11): 280. 2018.
Predicting Cyber-Events by Leveraging Hacker Sentiment [link]Paper   doi   link   bibtex  
Computational social scientist beware: Simpson's paradox in behavioral data. Lerman, K. J. Comput. Soc. Sci., 1(1): 49–58. 2018.
Computational social scientist beware: Simpson's paradox in behavioral data [link]Paper   doi   link   bibtex  
Language, demographics, emotions, and the structure of online social networks. Lerman, K.; Marin, L. G.; Arora, M.; de Lima, L. H. C.; Ferrara, E.; and García, D. J. Comput. Soc. Sci., 1(1): 209–225. 2018.
Language, demographics, emotions, and the structure of online social networks [link]Paper   doi   link   bibtex  
Model of cognitive dynamics predicts performance on standardized tests. Hodas, N. O.; Hunter, J. S.; Young, S. J.; and Lerman, K. J. Comput. Soc. Sci., 1(2): 295–312. 2018.
Model of cognitive dynamics predicts performance on standardized tests [link]Paper   doi   link   bibtex  
DarkEmbed: Exploit Prediction With Neural Language Models. Tavabi, N.; Goyal, P.; Almukaynizi, M.; Shakarian, P.; and Lerman, K. In McIlraith, S. A.; and Weinberger, K. Q., editor(s), Proceedings of the Thirty-Second AAAI Conference on Artificial Intelligence, (AAAI-18), the 30th innovative Applications of Artificial Intelligence (IAAI-18), and the 8th AAAI Symposium on Educational Advances in Artificial Intelligence (EAAI-18), New Orleans, Louisiana, USA, February 2-7, 2018, pages 7849–7854, 2018. AAAI Press
DarkEmbed: Exploit Prediction With Neural Language Models [link]Paper   doi   link   bibtex   16 downloads  
Analyzing the Digital Traces of Political Manipulation: The 2016 Russian Interference Twitter Campaign. Badawy, A.; Ferrara, E.; and Lerman, K. In Brandes, U.; Reddy, C.; and Tagarelli, A., editor(s), IEEE/ACM 2018 International Conference on Advances in Social Networks Analysis and Mining, ASONAM 2018, Barcelona, Spain, August 28-31, 2018, pages 258–265, 2018. IEEE Computer Society
Analyzing the Digital Traces of Political Manipulation: The 2016 Russian Interference Twitter Campaign [link]Paper   doi   link   bibtex  
Discovering Latent Psychological Structures from Self-Report Assessments of Hospital Workers. Kao, H.; Hosseinmardi, H.; Yan, S.; Hasan, M.; Narayanan, S. S.; Lerman, K.; and Ferrara, E. In 5th International Conference on Behavioral, Economic, and Socio-Cultural Computing, BESC 2018, Kaohsiung, Taiwan, November 12-14, 2018, pages 156–161, 2018. IEEE
Discovering Latent Psychological Structures from Self-Report Assessments of Hospital Workers [link]Paper   doi   link   bibtex  
Using Simpson's Paradox to Discover Interesting Patterns in Behavioral Data. Alipourfard, N.; Fennell, P. G.; and Lerman, K. In Proceedings of the Twelfth International Conference on Web and Social Media, ICWSM 2018, Stanford, California, USA, June 25-28, 2018, pages 2–11, 2018. AAAI Press
Using Simpson's Paradox to Discover Interesting Patterns in Behavioral Data [link]Paper   link   bibtex  
Quantifying the Impact of Cognitive Biases in Question-Answering Systems. Burghardt, K.; Hogg, T.; and Lerman, K. In Proceedings of the Twelfth International Conference on Web and Social Media, ICWSM 2018, Stanford, California, USA, June 25-28, 2018, pages 568–571, 2018. AAAI Press
Quantifying the Impact of Cognitive Biases in Question-Answering Systems [link]Paper   link   bibtex  
Modeling Evolution of Topics in Large-Scale Temporal Text Corpora. Momeni, E.; Karunasekera, S.; Goyal, P.; and Lerman, K. In Proceedings of the Twelfth International Conference on Web and Social Media, ICWSM 2018, Stanford, California, USA, June 25-28, 2018, pages 656–659, 2018. AAAI Press
Modeling Evolution of Topics in Large-Scale Temporal Text Corpora [link]Paper   link   bibtex  
Democratizing data science through data science training. Horn, J. D. V.; Fierro, L.; Kamdar, J.; Gordon, J.; Stewart, C.; Bhattrai, A.; Abe, S.; Lei, X.; O'Driscoll, C.; Sinha, A.; Jain, P.; Burns, G.; Lerman, K.; and Ambite, J. L. In Altman, R. B.; Dunker, A. K.; Hunter, L.; Ritchie, M. D.; and Klein, T. E., editor(s), Biocomputing 2018: Proceedings of the Pacific Symposium, The Big Island of Hawaii, Hawaii, USA, January 3-7, 2018, pages 292–303, 2018.
Democratizing data science through data science training [pdf]Paper   link   bibtex  
Can you Trust the Trend?: Discovering Simpson's Paradoxes in Social Data. Alipourfard, N.; Fennell, P. G.; and Lerman, K. In Chang, Y.; Zhai, C.; Liu, Y.; and Maarek, Y., editor(s), Proceedings of the Eleventh ACM International Conference on Web Search and Data Mining, WSDM 2018, Marina Del Rey, CA, USA, February 5-9, 2018, pages 19–27, 2018. ACM
Can you Trust the Trend?: Discovering Simpson's Paradoxes in Social Data [link]Paper   doi   link   bibtex  
Journalism, Misinformation and Fact Checking Chairs' Welcome & Organization. Ciampaglia, G. L.; Lerman, K.; and Metaxas, P. In Champin, P.; Gandon, F.; Lalmas, M.; and Ipeirotis, P. G., editor(s), Companion of the The Web Conference 2018 on The Web Conference 2018, WWW 2018, Lyon , France, April 23-27, 2018, pages 513–515, 2018. ACM
Journalism, Misinformation and Fact Checking Chairs' Welcome & Organization [link]Paper   doi   link   bibtex  
DISCOVER: Mining Online Chatter for Emerging Cyber Threats. Sapienza, A.; Ernala, S. K.; Bessi, A.; Lerman, K.; and Ferrara, E. In Champin, P.; Gandon, F.; Lalmas, M.; and Ipeirotis, P. G., editor(s), Companion of the The Web Conference 2018 on The Web Conference 2018, WWW 2018, Lyon , France, April 23-27, 2018, pages 983–990, 2018. ACM
DISCOVER: Mining Online Chatter for Emerging Cyber Threats [link]Paper   doi   link   bibtex   7 downloads  
Towards Quantifying Sampling Bias in Network Inference. Noboa, L. E.; Wagner, C.; Karimi, F.; and Lerman, K. In Champin, P.; Gandon, F.; Lalmas, M.; and Ipeirotis, P. G., editor(s), Companion of the The Web Conference 2018 on The Web Conference 2018, WWW 2018, Lyon , France, April 23-27, 2018, pages 1277–1285, 2018. ACM
Towards Quantifying Sampling Bias in Network Inference [link]Paper   doi   link   bibtex  
Wrapper Maintenance. Lerman, K.; and Knoblock, C. A. In Liu, L.; and Özsu, M. T., editor(s), Encyclopedia of Database Systems, Second Edition. Springer, 2018.
Wrapper Maintenance [link]Paper   doi   link   bibtex  
Can you Trust the Trend: Discovering Simpson's Paradoxes in Social Data. Alipourfard, N.; Fennell, P. G.; and Lerman, K. CoRR, abs/1801.04385. 2018.
Can you Trust the Trend: Discovering Simpson's Paradoxes in Social Data [link]Paper   link   bibtex  
Early Warnings of Cyber Threats in Online Discussions. Sapienza, A.; Bessi, A.; Damodaran, S.; Shakarian, P.; Lerman, K.; and Ferrara, E. CoRR, abs/1801.09781. 2018.
Early Warnings of Cyber Threats in Online Discussions [link]Paper   link   bibtex  
Analyzing the Digital Traces of Political Manipulation: The 2016 Russian Interference Twitter Campaign. Badawy, A.; Ferrara, E.; and Lerman, K. CoRR, abs/1802.04291. 2018.
Analyzing the Digital Traces of Political Manipulation: The 2016 Russian Interference Twitter Campaign [link]Paper   link   bibtex  
RAPTOR: Ransomware Attack PredicTOR. Quinkert, F.; Holz, T.; Hossain, K. S. M. T.; Ferrara, E.; and Lerman, K. CoRR, abs/1803.01598. 2018.
RAPTOR: Ransomware Attack PredicTOR [link]Paper   link   bibtex  
Towards Quantifying Sampling Bias in Network Inference. Noboa, L. E.; Wagner, C.; Karimi, F.; and Lerman, K. CoRR, abs/1803.02422. 2018.
Towards Quantifying Sampling Bias in Network Inference [link]Paper   link   bibtex  
Predicting Cyber Events by Leveraging Hacker Sentiment. Deb, A.; Lerman, K.; and Ferrara, E. CoRR, abs/1804.05276. 2018.
Predicting Cyber Events by Leveraging Hacker Sentiment [link]Paper   link   bibtex  
Using Simpson's Paradox to Discover Interesting Patterns in Behavioral Data. Alipourfard, N.; Fennell, P. G.; and Lerman, K. CoRR, abs/1805.03094. 2018.
Using Simpson's Paradox to Discover Interesting Patterns in Behavioral Data [link]Paper   link   bibtex  
Discovering Signals from Web Sources to Predict Cyber Attacks. Goyal, P.; Hossain, K. S. M. T.; Deb, A.; Tavabi, N.; Bartley, N.; Abeliuk, A.; Ferrara, E.; and Lerman, K. CoRR, abs/1806.03342. 2018.
Discovering Signals from Web Sources to Predict Cyber Attacks [link]Paper   link   bibtex  
Degree Correlations Amplify the Growth of Cascades in Networks. Wu, X.; Fennell, P. G.; Percus, A. G.; and Lerman, K. CoRR, abs/1807.05472. 2018.
Degree Correlations Amplify the Growth of Cascades in Networks [link]Paper   link   bibtex  
Who Falls for Online Political Manipulation?. Badawy, A.; Lerman, K.; and Ferrara, E. CoRR, abs/1808.03281. 2018.
Who Falls for Online Political Manipulation? [link]Paper   link   bibtex  
Tensor Embedding: A Supervised Framework for Human Behavioral Data Mining and Prediction. Hosseinmardi, H.; Ghasemian, A.; Narayanan, S. S.; Lerman, K.; and Ferrara, E. CoRR, abs/1808.10867. 2018.
Tensor Embedding: A Supervised Framework for Human Behavioral Data Mining and Prediction [link]Paper   link   bibtex  
Model of Cognitive Dynamics Predicts Performance on Standardized Tests. Hodas, N. O.; Hunter, J. S.; Young, S. J.; and Lerman, K. CoRR, abs/1809.02647. 2018.
Model of Cognitive Dynamics Predicts Performance on Standardized Tests [link]Paper   link   bibtex  
Contagions in Social Networks: Effects of Monophilic Contagion, Friendship Paradox and Reactive Networks. Nettasinghe, B.; Krishnamurthy, V.; and Lerman, K. CoRR, abs/1810.05822. 2018.
Contagions in Social Networks: Effects of Monophilic Contagion, Friendship Paradox and Reactive Networks [link]Paper   link   bibtex  
Predicting and Explaining Behavioral Data with Structured Feature Space Decomposition. Fennell, P. G.; Zuo, Z.; and Lerman, K. CoRR, abs/1810.09841. 2018.
Predicting and Explaining Behavioral Data with Structured Feature Space Decomposition [link]Paper   link   bibtex  
Characterizing the 2016 Russian IRA Influence Campaign. Badawy, A.; Addawood, A.; Lerman, K.; and Ferrara, E. CoRR, abs/1812.01997. 2018.
Characterizing the 2016 Russian IRA Influence Campaign [link]Paper   link   bibtex  
  2017 (24)
Graph Filters and the Z-Laplacian. Yan, X.; Sadler, B. M.; Drost, R. J.; Yu, P. L.; and Lerman, K. IEEE J. Sel. Top. Signal Process., 11(6): 774–784. 2017.
Graph Filters and the Z-Laplacian [link]Paper   doi   link   bibtex  
How the structure of Wikipedia articles influences user navigation. Lamprecht, D.; Lerman, K.; Helic, D.; and Strohmaier, M. New Rev. Hypermedia Multim., 23(1): 29–50. 2017.
How the structure of Wikipedia articles influences user navigation [link]Paper   doi   link   bibtex  
Mining social semantics on the social web. Hotho, A.; Jäschke, R.; and Lerman, K. Semantic Web, 8(5): 623–624. 2017.
Mining social semantics on the social web [link]Paper   doi   link   bibtex  
Effort Mediates Access to Information in Online Social Networks. Kang, J.; and Lerman, K. ACM Trans. Web, 11(1): 3:1–3:19. 2017.
Effort Mediates Access to Information in Online Social Networks [link]Paper   doi   link   bibtex   2 downloads  
The BD2K Training Coordinating Center's Data Science Education Platform. Ambite, J. L.; Fierro, L. T.; Geigl, F.; Gordon, J.; Burns, G. A. P. C.; Lerman, K.; Kamdar, J.; Stewart, C.; Bhattrai, A.; Lei, X.; Abe, S.; and Horn, J. D. V. In AMIA 2017, American Medical Informatics Association Annual Symposium, Washington, DC, USA, November 4-8, 2017, 2017. AMIA
The BD2K Training Coordinating Center's Data Science Education Platform [link]Paper   link   bibtex  
A Meme is Not a Virus: The Role of Cognitive Heuristics in Information Diffusion. Lerman, K. In Dolog, P.; Vojtás, P.; Bonchi, F.; and Helic, D., editor(s), Proceedings of the 28th ACM Conference on Hypertext and Social Media, HT 2017, Prague, Czech Republic, July 4-7, 2017, pages 1, 2017. ACM
A Meme is Not a Virus: The Role of Cognitive Heuristics in Information Diffusion [link]Paper   doi   link   bibtex  
Early Warnings of Cyber Threats in Online Discussions. Sapienza, A.; Bessi, A.; Damodaran, S.; Shakarian, P.; Lerman, K.; and Ferrara, E. In Gottumukkala, R.; Ning, X.; Dong, G.; Raghavan, V.; Aluru, S.; Karypis, G.; Miele, L.; and Wu, X., editor(s), 2017 IEEE International Conference on Data Mining Workshops, ICDM Workshops 2017, New Orleans, LA, USA, November 18-21, 2017, pages 667–674, 2017. IEEE Computer Society
Early Warnings of Cyber Threats in Online Discussions [link]Paper   doi   link   bibtex   6 downloads  
On Quitting: Performance and Practice in Online Game Play. Agarwal, T.; Burghardt, K.; and Lerman, K. In Proceedings of the Eleventh International Conference on Web and Social Media, ICWSM 2017, Montréal, Québec, Canada, May 15-18, 2017, pages 452–455, 2017. AAAI Press
On Quitting: Performance and Practice in Online Game Play [link]Paper   link   bibtex  
Dynamics of Content Quality in Collaborative Knowledge Production. Ferrara, E.; Alipourfard, N.; Burghardt, K.; Gopal, C.; and Lerman, K. In Proceedings of the Eleventh International Conference on Web and Social Media, ICWSM 2017, Montréal, Québec, Canada, May 15-18, 2017, pages 520–523, 2017. AAAI Press
Dynamics of Content Quality in Collaborative Knowledge Production [link]Paper   link   bibtex  
Deep Context: A Neural Language Model for Large-scale Networked Documents. Wu, H.; and Lerman, K. In Sierra, C., editor(s), Proceedings of the Twenty-Sixth International Joint Conference on Artificial Intelligence, IJCAI 2017, Melbourne, Australia, August 19-25, 2017, pages 3091–3097, 2017. ijcai.org
Deep Context: A Neural Language Model for Large-scale Networked Documents [link]Paper   doi   link   bibtex  
Multi-layer Network Composition Under a Unified Dynamical Process. Yan, X.; Teng, S.; and Lerman, K. In Lee, D.; Lin, Y.; Osgood, N.; and Thomson, R., editor(s), Social, Cultural, and Behavioral Modeling - 10th International Conference, SBP-BRiMS 2017, Washington, DC, USA, July 5-8, 2017, Proceedings, volume 10354, of Lecture Notes in Computer Science, pages 315–321, 2017. Springer
Multi-layer Network Composition Under a Unified Dynamical Process [link]Paper   doi   link   bibtex  
iPhone's Digital Marketplace: Characterizing the Big Spenders. Kooti, F.; Grbovic, M.; Aiello, L. M.; Bax, E.; and Lerman, K. In de Rijke, M.; Shokouhi, M.; Tomkins, A.; and Zhang, M., editor(s), Proceedings of the Tenth ACM International Conference on Web Search and Data Mining, WSDM 2017, Cambridge, United Kingdom, February 6-10, 2017, pages 13–21, 2017. ACM
iPhone's Digital Marketplace: Characterizing the Big Spenders [link]Paper   doi   link   bibtex  
Understanding Short-term Changes in Online Activity Sessions. Kooti, F.; Subbian, K.; Mason, W. A.; Adamic, L. A.; and Lerman, K. In Barrett, R.; Cummings, R.; Agichtein, E.; and Gabrilovich, E., editor(s), Proceedings of the 26th International Conference on World Wide Web Companion, Perth, Australia, April 3-7, 2017, pages 555–563, 2017. ACM
Understanding Short-term Changes in Online Activity Sessions [link]Paper   doi   link   bibtex  
Analyzing Uber's Ride-sharing Economy. Kooti, F.; Grbovic, M.; Aiello, L. M.; Djuric, N.; Radosavljevic, V.; and Lerman, K. In Barrett, R.; Cummings, R.; Agichtein, E.; and Gabrilovich, E., editor(s), Proceedings of the 26th International Conference on World Wide Web Companion, Perth, Australia, April 3-7, 2017, pages 574–582, 2017. ACM
Analyzing Uber's Ride-sharing Economy [link]Paper   doi   link   bibtex  
Taming the Unpredictability of Cultural Markets with Social Influence. Abeliuk, A.; Berbeglia, G.; Hentenryck, P. V.; Hogg, T.; and Lerman, K. In Barrett, R.; Cummings, R.; Agichtein, E.; and Gabrilovich, E., editor(s), Proceedings of the 26th International Conference on World Wide Web, WWW 2017, Perth, Australia, April 3-7, 2017, pages 745–754, 2017. ACM
Taming the Unpredictability of Cultural Markets with Social Influence [link]Paper   doi   link   bibtex  
BD2K ERuDIte: the Educational Resource Discovery Index for Data Science. Ambite, J. L.; Fierro, L.; Geigl, F.; Gordon, J.; Burns, G. A. P. C.; Lerman, K.; and Horn, J. D. V. In Barrett, R.; Cummings, R.; Agichtein, E.; and Gabrilovich, E., editor(s), Proceedings of the 26th International Conference on World Wide Web Companion, Perth, Australia, April 3-7, 2017, pages 1203–1211, 2017. ACM
BD2K ERuDIte: the Educational Resource Discovery Index for Data Science [link]Paper   doi   link   bibtex  
iPhone's Digital Marketplace: Characterizing the Big Spenders. Kooti, F.; Grbovic, M.; Aiello, L. M.; Bax, E.; and Lerman, K. CoRR, abs/1701.07411. 2017.
iPhone's Digital Marketplace: Characterizing the Big Spenders [link]Paper   link   bibtex  
On Quitting: Performance and Practice in Online Game Play. Agarwal, T.; Burghardt, K. A.; and Lerman, K. CoRR, abs/1703.04696. 2017.
On Quitting: Performance and Practice in Online Game Play [link]Paper   link   bibtex  
Will Break for Productivity: Generalized Symptoms of Cognitive Depletion. Franklin, L.; Lerman, K.; and Hodas, N. O. CoRR, abs/1706.01521. 2017.
Will Break for Productivity: Generalized Symptoms of Cognitive Depletion [link]Paper   link   bibtex  
Dynamics of Content Quality in Collaborative Knowledge Production. Ferrara, E.; Alipourfard, N.; Burghardt, K.; Gopal, C.; and Lerman, K. CoRR, abs/1706.03179. 2017.
Dynamics of Content Quality in Collaborative Knowledge Production [link]Paper   link   bibtex  
Graph Filters and the Z-Laplacian. Yan, X.; Sadler, B. M.; Drost, R. J.; Yu, P. L.; and Lerman, K. CoRR, abs/1707.05851. 2017.
Graph Filters and the Z-Laplacian [link]Paper   link   bibtex  
Network Vector: Distributed Representations of Networks with Global Context. Wu, H.; and Lerman, K. CoRR, abs/1709.02448. 2017.
Network Vector: Distributed Representations of Networks with Global Context [link]Paper   link   bibtex  
Bounded Rationality in Scholarly Knowledge Discovery. Lerman, K.; Hodas, N. O.; and Wu, H. CoRR, abs/1710.00269. 2017.
Bounded Rationality in Scholarly Knowledge Discovery [link]Paper   link   bibtex  
Computational Social Scientist Beware: Simpson's Paradox in Behavioral Data. Lerman, K. CoRR, abs/1710.08615. 2017.
Computational Social Scientist Beware: Simpson's Paradox in Behavioral Data [link]Paper   link   bibtex  
  2016 (18)
The DARPA Twitter Bot Challenge. Subrahmanian, V. S.; Azaria, A.; Durst, S.; Kagan, V.; Galstyan, A.; Lerman, K.; Zhu, L.; Ferrara, E.; Flammini, A.; and Menczer, F. Computer, 49(6): 38–46. 2016.
The DARPA Twitter Bot Challenge [link]Paper   doi   link   bibtex   8 downloads  
Information Is Not a Virus, and Other Consequences of Human Cognitive Limits. Lerman, K. Future Internet, 8(2): 21. 2016.
Information Is Not a Virus, and Other Consequences of Human Cognitive Limits [link]Paper   doi   link   bibtex   1 download  
Capturing the interplay of dynamics and networks through parameterizations of Laplacian operators. Yan, X.; Teng, S.; Lerman, K.; and Ghosh, R. PeerJ Comput. Sci., 2: e57. 2016.
Capturing the interplay of dynamics and networks through parameterizations of Laplacian operators [link]Paper   doi   link   bibtex  
Partitioning Networks with Node Attributes by Compressing Information Flow. Smith, L. M.; Zhu, L.; Lerman, K.; and Percus, A. G. ACM Trans. Knowl. Discov. Data, 11(2): 15:1–15:26. 2016.
Partitioning Networks with Node Attributes by Compressing Information Flow [link]Paper   doi   link   bibtex   1 download  
Leveraging the Contributions of the Casual Majority to Identify Appealing Web Content. Hogg, T.; and Lerman, K. In Ghosh, A.; and Lease, M., editor(s), Proceedings of the Fourth AAAI Conference on Human Computation and Crowdsourcing, HCOMP 2016, 30 October - 3 November, 2016, Austin, Texas, USA, pages 69–78, 2016. AAAI Press
Leveraging the Contributions of the Casual Majority to Identify Appealing Web Content [link]Paper   doi   link   bibtex  
Assessing the Navigational Effects of Click Biases and Link Insertion on the Web. Geigl, F.; Lerman, K.; Walk, S.; Strohmaier, M.; and Helic, D. In Blustein, J.; Herder, E.; Rubart, J.; and Ashman, H., editor(s), Proceedings of the 27th ACM Conference on Hypertext and Social Media, HT 2016, Halifax, NS, Canada, July 10-13, 2016, pages 37–47, 2016. ACM
Assessing the Navigational Effects of Click Biases and Link Insertion on the Web [link]Paper   doi   link   bibtex  
Emotions, Demographics and Sociability in Twitter Interactions. Lerman, K.; Arora, M.; Gallegos, L.; Kumaraguru, P.; and García, D. In Proceedings of the Tenth International Conference on Web and Social Media, Cologne, Germany, May 17-20, 2016, pages 201–210, 2016. AAAI Press
Emotions, Demographics and Sociability in Twitter Interactions [link]Paper   link   bibtex  
Twitter Session Analytics: Profiling Users' Short-Term Behavioral Changes. Kooti, F.; Moro, E.; and Lerman, K. In Spiro, E. S.; and Ahn, Y., editor(s), Social Informatics - 8th International Conference, SocInfo 2016, Bellevue, WA, USA, November 11-14, 2016, Proceedings, Part II, volume 10047, of Lecture Notes in Computer Science, pages 71–86, 2016.
Twitter Session Analytics: Profiling Users' Short-Term Behavioral Changes [link]Paper   doi   link   bibtex  
Portrait of an Online Shopper: Understanding and Predicting Consumer Behavior. Kooti, F.; Lerman, K.; Aiello, L. M.; Grbovic, M.; Djuric, N.; and Radosavljevic, V. In Bennett, P. N.; Josifovski, V.; Neville, J.; and Radlinski, F., editor(s), Proceedings of the Ninth ACM International Conference on Web Search and Data Mining, San Francisco, CA, USA, February 22-25, 2016, pages 205–214, 2016. ACM
Portrait of an Online Shopper: Understanding and Predicting Consumer Behavior [link]Paper   doi   link   bibtex  
Geography of Emotion: Where in a City are People Happier?. Gallegos, L.; Lerman, K.; Huang, A.; and García, D. In Bourdeau, J.; Hendler, J.; Nkambou, R.; Horrocks, I.; and Zhao, B. Y., editor(s), Proceedings of the 25th International Conference on World Wide Web, WWW 2016, Montreal, Canada, April 11-15, 2016, Companion Volume, pages 569–574, 2016. ACM
Geography of Emotion: Where in a City are People Happier? [link]Paper   doi   link   bibtex  
The DARPA Twitter Bot Challenge. Subrahmanian, V. S.; Azaria, A.; Durst, S.; Kagan, V.; Galstyan, A.; Lerman, K.; Zhu, L.; Ferrara, E.; Flammini, A.; Menczer, F.; Waltzman, R.; Stevens, A.; Dekhtyar, A.; Gao, S.; Hogg, T.; Kooti, F.; Liu, Y.; Varol, O.; Shiralkar, P.; Vydiswaran, V. G. V.; Mei, Q.; and Huang, T. CoRR, abs/1601.05140. 2016.
The DARPA Twitter Bot Challenge [link]Paper   link   bibtex   8 downloads  
Attention Inequality in Social Media. Zhu, L.; and Lerman, K. CoRR, abs/1601.07200. 2016.
Attention Inequality in Social Media [link]Paper   link   bibtex  
The Myopia of Crowds: A Study of Collective Evaluation on Stack Exchange. Burghardt, K.; Alsina, E. F.; Girvan, M.; Rand, W.; and Lerman, K. CoRR, abs/1602.07388. 2016.
The Myopia of Crowds: A Study of Collective Evaluation on Stack Exchange [link]Paper   link   bibtex  
Assessing the Navigational Effects of Click Biases and Link Insertion on the Web. Geigl, F.; Lerman, K.; Walk, S.; Strohmaier, M.; and Helic, D. CoRR, abs/1603.06200. 2016.
Assessing the Navigational Effects of Click Biases and Link Insertion on the Web [link]Paper   link   bibtex  
Evidence of Online Performance Deterioration in User Sessions on Reddit. Singer, P.; Ferrara, E.; Kooti, F.; Strohmaier, M.; and Lerman, K. CoRR, abs/1604.06899. 2016.
Evidence of Online Performance Deterioration in User Sessions on Reddit [link]Paper   link   bibtex  
Information is not a Virus, and Other Consequences of Human Cognitive Limits. Lerman, K. CoRR, abs/1605.02660. 2016.
Information is not a Virus, and Other Consequences of Human Cognitive Limits [link]Paper   link   bibtex   1 download  
Network Composition from Multi-layer Data. Lerman, K.; Teng, S.; and Yan, X. CoRR, abs/1609.01641. 2016.
Network Composition from Multi-layer Data [link]Paper   link   bibtex  
Neighbor-Neighbor Correlations Explain Measurement Bias in Networks. Wu, X.; Percus, A. G.; and Lerman, K. CoRR, abs/1612.08200. 2016.
Neighbor-Neighbor Correlations Explain Measurement Bias in Networks [link]Paper   link   bibtex  
  2015 (13)
Disentangling the Effects of Social Signals. Hogg, T.; and Lerman, K. Hum. Comput., 2(2): 189–208. 2015.
Disentangling the Effects of Social Signals [link]Paper   doi   link   bibtex  
User Effort and Network Structure Mediate Access to Information in Networks. Kang, J.; and Lerman, K. In Cha, M.; Mascolo, C.; and Sandvig, C., editor(s), Proceedings of the Ninth International Conference on Web and Social Media, ICWSM 2015, University of Oxford, Oxford, UK, May 26-29, 2015, pages 198–207, 2015. AAAI Press
User Effort and Network Structure Mediate Access to Information in Networks [link]Paper   link   bibtex  
Information-Theoretic Clustering of Neuroimaging Metrics Related to Cognitive Decline in the Elderly. Daianu, M.; Steeg, G. V.; Mezher, A.; Jahanshad, N.; Nir, T. M.; Yan, X.; Prasad, G.; Lerman, K.; Galstyan, A.; and Thompson, P. M. In Menze, B. H.; Langs, G.; Montillo, A.; Kelm, B. M.; Müller, H.; Zhang, S.; Cai, T. W.; and Metaxas, D. N., editor(s), Medical Computer Vision: Algorithms for Big Data - International Workshop, MCV 2015, Held in Conjunction with MICCAI 2015, Munich, Germany, October 9, 2015, Revised Selected Papers, volume 9601, of Lecture Notes in Computer Science, pages 13–23, 2015. Springer
Information-Theoretic Clustering of Neuroimaging Metrics Related to Cognitive Decline in the Elderly [link]Paper   doi   link   bibtex  
Structural Properties of Ego Networks. Gupta, S.; Yan, X.; and Lerman, K. In Agarwal, N.; Xu, K. S.; and Osgood, N., editor(s), Social Computing, Behavioral-Cultural Modeling, and Prediction - 8th International Conference, SBP 2015, Washington, DC, USA, March 31-April 3, 2015. Proceedings, volume 9021, of Lecture Notes in Computer Science, pages 55–64, 2015. Springer
Structural Properties of Ego Networks [link]Paper   doi   link   bibtex  
VIP: Incorporating Human Cognitive Biases in a Probabilistic Model of Retweeting. Kang, J.; and Lerman, K. In Agarwal, N.; Xu, K. S.; and Osgood, N., editor(s), Social Computing, Behavioral-Cultural Modeling, and Prediction - 8th International Conference, SBP 2015, Washington, DC, USA, March 31-April 3, 2015. Proceedings, volume 9021, of Lecture Notes in Computer Science, pages 101–110, 2015. Springer
VIP: Incorporating Human Cognitive Biases in a Probabilistic Model of Retweeting [link]Paper   doi   link   bibtex  
Evolution of Conversations in the Age of Email Overload. Kooti, F.; Aiello, L. M.; Grbovic, M.; Lerman, K.; and Mantrach, A. In Gangemi, A.; Leonardi, S.; and Panconesi, A., editor(s), Proceedings of the 24th International Conference on World Wide Web, WWW 2015, Florence, Italy, May 18-22, 2015, pages 603–613, 2015. ACM
Evolution of Conversations in the Age of Email Overload [link]Paper   doi   link   bibtex  
VIP: Incorporating Human Cognitive Biases in a Probabilistic Model of Retweeting. Kang, J.; and Lerman, K. CoRR, abs/1502.00582. 2015.
VIP: Incorporating Human Cognitive Biases in a Probabilistic Model of Retweeting [link]Paper   link   bibtex  
Evolution of Conversations in the Age of Email Overload. Kooti, F.; Aiello, L. M.; Grbovic, M.; Lerman, K.; and Mantrach, A. CoRR, abs/1504.00704. 2015.
Evolution of Conversations in the Age of Email Overload [link]Paper   link   bibtex  
User Effort and Network Structure Mediate Access to Information in Networks. Kang, J.; and Lerman, K. CoRR, abs/1504.01760. 2015.
User Effort and Network Structure Mediate Access to Information in Networks [link]Paper   link   bibtex  
The Majority Illusion in Social Networks. Lerman, K.; Yan, X.; and Wu, X. CoRR, abs/1506.03022. 2015.
The Majority Illusion in Social Networks [link]Paper   link   bibtex  
Geography of Emotion: Where in a City are People Happier?. Gallegos, L.; Lerman, K.; Huang, A.; and García, D. CoRR, abs/1507.07632. 2015.
Geography of Emotion: Where in a City are People Happier? [link]Paper   link   bibtex  
Social Ties and Emotions: Evidence from Social Media. Lerman, K.; Arora, M.; Gallegos, L.; Kumaraguru, P.; and García, D. CoRR, abs/1510.07090. 2015.
Social Ties and Emotions: Evidence from Social Media [link]Paper   link   bibtex  
Portrait of an Online Shopper: Understanding and Predicting Consumer Behavior. Kooti, F.; Lerman, K.; Aiello, L. M.; Grbovic, M.; Djuric, N.; and Radosavljevic, V. CoRR, abs/1512.04912. 2015.
Portrait of an Online Shopper: Understanding and Predicting Consumer Behavior [link]Paper   link   bibtex  
  2014 (12)
Placing user-generated content on the map with confidence. Intagorn, S.; and Lerman, K. In Huang, Y.; Schneider, M.; Gertz, M.; Krumm, J.; and Sankaranarayanan, J., editor(s), Proceedings of the 22nd ACM SIGSPATIAL International Conference on Advances in Geographic Information Systems, Dallas/Fort Worth, TX, USA, November 4-7, 2014, pages 413–416, 2014. ACM
Placing user-generated content on the map with confidence [link]Paper   doi   link   bibtex  
Network Weirdness: Exploring the Origins of Network Paradoxes. Kooti, F.; Hodas, N. O.; and Lerman, K. In Adar, E.; Resnick, P.; Choudhury, M. D.; Hogan, B.; and Oh, A., editor(s), Proceedings of the Eighth International Conference on Weblogs and Social Media, ICWSM 2014, Ann Arbor, Michigan, USA, June 1-4, 2014, 2014. The AAAI Press
Network Weirdness: Exploring the Origins of Network Paradoxes [link]Paper   link   bibtex   52 downloads  
The interplay between dynamics and networks: centrality, communities, and cheeger inequality. Ghosh, R.; Teng, S.; Lerman, K.; and Yan, X. In Macskassy, S. A.; Perlich, C.; Leskovec, J.; Wang, W.; and Ghani, R., editor(s), The 20th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, KDD '14, New York, NY, USA - August 24 - 27, 2014, pages 1406–1415, 2014. ACM
The interplay between dynamics and networks: centrality, communities, and cheeger inequality [link]Paper   doi   link   bibtex  
Tripartite graph clustering for dynamic sentiment analysis on social media. Zhu, L.; Galstyan, A.; Cheng, J.; and Lerman, K. In Dyreson, C. E.; Li, F.; and Özsu, M. T., editor(s), International Conference on Management of Data, SIGMOD 2014, Snowbird, UT, USA, June 22-27, 2014, pages 1531–1542, 2014. ACM
Tripartite graph clustering for dynamic sentiment analysis on social media [link]Paper   doi   link   bibtex   41 downloads  
Proceedings of the 2014 International Conference on Social Computing, Beijing, China, August 04 - 07, 2014. Yang, S.; Lerman, K.; She, J.; and Atzmueller, M., editors. ACM. 2014.
Proceedings of the 2014 International Conference on Social Computing, Beijing, China, August 04 - 07, 2014 [link]Paper   link   bibtex  
Tripartite Graph Clustering for Dynamic Sentiment Analysis on Social Media. Zhu, L.; Galstyan, A.; Cheng, J.; and Lerman, K. CoRR, abs/1402.6010. 2014.
Tripartite Graph Clustering for Dynamic Sentiment Analysis on Social Media [link]Paper   link   bibtex   41 downloads  
Network Weirdness: Exploring the Origins of Network Paradoxes. Kooti, F.; Hodas, N. O.; and Lerman, K. CoRR, abs/1403.7242. 2014.
Network Weirdness: Exploring the Origins of Network Paradoxes [link]Paper   link   bibtex   52 downloads  
Partitioning Networks with Node Attributes by Compressing Information Flow. Smith, L. M.; Zhu, L.; Lerman, K.; and Percus, A. G. CoRR, abs/1405.4332. 2014.
Partitioning Networks with Node Attributes by Compressing Information Flow [link]Paper   link   bibtex   37 downloads  
The Interplay Between Dynamics and Networks: Centrality, Communities, and Cheeger Inequality. Ghosh, R.; Lerman, K.; Teng, S.; and Yan, X. CoRR, abs/1406.3387. 2014.
The Interplay Between Dynamics and Networks: Centrality, Communities, and Cheeger Inequality [link]Paper   link   bibtex   45 downloads  
The Impact of Network Flows on Community Formation in Models of Opinion Dynamics. Ghosh, R.; and Lerman, K. CoRR, abs/1407.2587. 2014.
The Impact of Network Flows on Community Formation in Models of Opinion Dynamics [link]Paper   link   bibtex  
Effects of Social Influence in Peer Online Recommendation. Hogg, T.; and Lerman, K. CoRR, abs/1410.6744. 2014.
Effects of Social Influence in Peer Online Recommendation [link]Paper   link   bibtex  
Structural Properties of Ego Networks. Gupta, S.; Yan, X.; and Lerman, K. CoRR, abs/1411.6061. 2014.
Structural Properties of Ego Networks [link]Paper   link   bibtex  
  2013 (23)
LA-CTR: A Limited Attention Collaborative Topic Regression for Social Media. Kang, J.; and Lerman, K. In desJardins , M.; and Littman, M. L., editor(s), Proceedings of the Twenty-Seventh AAAI Conference on Artificial Intelligence, July 14-18, 2013, Bellevue, Washington, USA, pages 1128–1134, 2013. AAAI Press
LA-CTR: A Limited Attention Collaborative Topic Regression for Social Media [link]Paper   doi   link   bibtex   31 downloads  
Scalable mining of social data using stochastic gradient fisher scoring. Kang, J.; and Lerman, K. In Mahmud, J.; Caverlee, J.; Nichols, J.; O'Donovan, J.; and Zhou, M. X., editor(s), Proceedings of the 2013 Workshop on Data-Driven User Behavioral Modelling and Mining from Social Media, DUBMOD@CIKM 2013 San Francisco, CA, USA, October 28, 2013, pages 21–24, 2013. ACM
Scalable mining of social data using stochastic gradient fisher scoring [link]Paper   doi   link   bibtex   16 downloads  
Using Visibility to Control Collective Attention in Crowdsourcing. Lerman, K.; and Hogg, T. In Human Computation and Crowdsourcing: Works in Progress and Demonstration Abstracts, An Adjunct to the Proceedings of the First AAAI Conference on Human Computation and Crowdsourcing, November 7-9, 2013, Palm Springs, CA, USA, volume WS-13-18, of AAAI Technical Report, 2013. AAAI
Using Visibility to Control Collective Attention in Crowdsourcing [link]Paper   link   bibtex  
Structural and cognitive bottlenecks to information access in social networks. Kang, J.; and Lerman, K. In Stumme, G.; and Hotho, A., editor(s), 24th ACM Conference on Hypertext and Social Media (part of ECRC), HT '13, Paris, France - May 02 - 04, 2013, pages 51–59, 2013. ACM
Structural and cognitive bottlenecks to information access in social networks [link]Paper   doi   link   bibtex   13 downloads  
Identifying Transformative Scientific Research. Huang, Y.; Hsu, C.; and Lerman, K. In Xiong, H.; Karypis, G.; Thuraisingham, B.; Cook, D. J.; and Wu, X., editor(s), 2013 IEEE 13th International Conference on Data Mining, Dallas, TX, USA, December 7-10, 2013, pages 291–300, 2013. IEEE Computer Society
Identifying Transformative Scientific Research [link]Paper   doi   link   bibtex   17 downloads  
Attention and visibility in an information-rich world. Hodas, N. O.; and Lerman, K. In 2013 IEEE International Conference on Multimedia and Expo Workshops, San Jose, CA, USA, July 15-19, 2013, pages 1–6, 2013. IEEE Computer Society
Attention and visibility in an information-rich world [link]Paper   doi   link   bibtex   21 downloads  
Friendship Paradox Redux: Your Friends Are More Interesting Than You. Hodas, N. O.; Kooti, F.; and Lerman, K. In Kiciman, E.; Ellison, N. B.; Hogan, B.; Resnick, P.; and Soboroff, I., editor(s), Proceedings of the Seventh International Conference on Weblogs and Social Media, ICWSM 2013, Cambridge, Massachusetts, USA, July 8-11, 2013, 2013. The AAAI Press
Friendship Paradox Redux: Your Friends Are More Interesting Than You [link]Paper   link   bibtex   32 downloads  
Network flows and the link prediction problem. Narang, K.; Lerman, K.; and Kumaraguru, P. In Zhu, F.; He, Q.; Yan, R.; and Yen, J., editor(s), Proceedings of the 7th Workshop on Social Network Mining and Analysis, SNAKDD 2013, Chicago, IL, USA, August 11, 2013, pages 3:1–3:8, 2013. ACM
Network flows and the link prediction problem [link]Paper   doi   link   bibtex   7 downloads  
LA-LDA: A Limited Attention Topic Model for Social Recommendation. Kang, J.; Lerman, K.; and Getoor, L. In Greenberg, A. M.; Kennedy, W. G.; and Bos, N., editor(s), Social Computing, Behavioral-Cultural Modeling and Prediction - 6th International Conference, SBP 2013, Washington, DC, USA, April 2-5, 2013. Proceedings, volume 7812, of Lecture Notes in Computer Science, pages 211–220, 2013. Springer
LA-LDA: A Limited Attention Topic Model for Social Recommendation [link]Paper   doi   link   bibtex  
Using Stochastic Models to Predict User Response in Social Media. Hogg, T.; Lerman, K.; and Smith, L. M. In International Conference on Social Computing, SocialCom 2013, SocialCom/PASSAT/BigData/EconCom/BioMedCom 2013, Washington, DC, USA, 8-14 September, 2013, pages 63–68, 2013. IEEE Computer Society
Using Stochastic Models to Predict User Response in Social Media [link]Paper   doi   link   bibtex  
The Role of Social Media in the Discussion of Controversial Topics. Smith, L. M.; Zhu, L.; Lerman, K.; and Kozareva, Z. In International Conference on Social Computing, SocialCom 2013, SocialCom/PASSAT/BigData/EconCom/BioMedCom 2013, Washington, DC, USA, 8-14 September, 2013, pages 236–243, 2013. IEEE Computer Society
The Role of Social Media in the Discussion of Controversial Topics [link]Paper   doi   link   bibtex   33 downloads  
Limited Attention and Centrality in Social Networks. Lerman, K.; Jain, P.; Ghosh, R.; Kang, J.; and Kumaraguru, P. In 2013 International Conference on Social Intelligence and Technology, SOCIETY 2013, State College, PA, USA, May 8-10, 2013, pages 80–89, 2013. IEEE Computer Society
Limited Attention and Centrality in Social Networks [link]Paper   doi   link   bibtex   10 downloads  
Analysis: An Introduction. Lerman, K. In Michelucci, P., editor(s), Handbook of Human Computation, pages 745–749. Springer, 2013.
Analysis: An Introduction [link]Paper   doi   link   bibtex  
Social Informatics: Using Big Data to Understand Social Behavior. Lerman, K. In Michelucci, P., editor(s), Handbook of Human Computation, pages 751–759. Springer, 2013.
Social Informatics: Using Big Data to Understand Social Behavior [link]Paper   doi   link   bibtex  
LA-LDA: A Limited Attention Topic Model for Social Recommendation. Kang, J.; Lerman, K.; and Getoor, L. CoRR, abs/1301.6277. 2013.
LA-LDA: A Limited Attention Topic Model for Social Recommendation [link]Paper   link   bibtex  
Structural and Cognitive Bottlenecks to Information Access in Social Networks. Kang, J.; and Lerman, K. CoRR, abs/1303.0861. 2013.
Structural and Cognitive Bottlenecks to Information Access in Social Networks [link]Paper   link   bibtex   13 downloads  
Spectral Clustering with Epidemic Diffusion. Smith, L. M.; Lerman, K.; Garcia-Cardona, C.; Percus, A. G.; and Ghosh, R. CoRR, abs/1303.2663. 2013.
Spectral Clustering with Epidemic Diffusion [link]Paper   link   bibtex   15 downloads  
Limited Attention and Centrality in Social Networks. Lerman, K.; Jain, P.; Ghosh, R.; Kang, J.; and Kumaraguru, P. CoRR, abs/1303.4451. 2013.
Limited Attention and Centrality in Social Networks [link]Paper   link   bibtex   10 downloads  
Friendship Paradox Redux: Your Friends Are More Interesting Than You. Hodas, N. O.; Kooti, F.; and Lerman, K. CoRR, abs/1304.3480. 2013.
Friendship Paradox Redux: Your Friends Are More Interesting Than You [link]Paper   link   bibtex   32 downloads  
Attention and Visibility in an Information Rich World. Hodas, N. O.; and Lerman, K. CoRR, abs/1307.4798. 2013.
Attention and Visibility in an Information Rich World [link]Paper   link   bibtex   21 downloads  
Stochastic Models Predict User Behavior in Social Media. Hogg, T.; Lerman, K.; and Smith, L. M. CoRR, abs/1308.2705. 2013.
Stochastic Models Predict User Behavior in Social Media [link]Paper   link   bibtex   21 downloads  
The Simple Rules of Social Contagion. Hodas, N. O.; and Lerman, K. CoRR, abs/1308.5015. 2013.
The Simple Rules of Social Contagion [link]Paper   link   bibtex  
LA-CTR: A Limited Attention Collaborative Topic Regression for Social Media. Kang, J.; and Lerman, K. CoRR, abs/1311.1247. 2013.
LA-CTR: A Limited Attention Collaborative Topic Regression for Social Media [link]Paper   link   bibtex   31 downloads  
  2012 (14)
Social dynamics of Digg. Hogg, T.; and Lerman, K. EPJ Data Sci., 1(1): 5. 2012.
Social dynamics of Digg [link]Paper   doi   link   bibtex   17 downloads  
A probabilistic approach to mining geospatial knowledge from social annotations. Intagorn, S.; and Lerman, K. ACM SIGSPATIAL Special, 4(3): 2–7. 2012.
A probabilistic approach to mining geospatial knowledge from social annotations [link]Paper   doi   link   bibtex   14 downloads  
Using Stochastic Models to Describe and Predict Social Dynamics of Web Users. Lerman, K.; and Hogg, T. ACM Trans. Intell. Syst. Technol., 3(4): 62:1–62:33. 2012.
Using Stochastic Models to Describe and Predict Social Dynamics of Web Users [link]Paper   doi   link   bibtex   8 downloads  
A probabilistic approach to mining geospatial knowledge from social annotations. Intagorn, S.; and Lerman, K. In Chen, X.; Lebanon, G.; Wang, H.; and Zaki, M. J., editor(s), 21st ACM International Conference on Information and Knowledge Management, CIKM'12, Maui, HI, USA, October 29 - November 02, 2012, pages 1717–1721, 2012. ACM
A probabilistic approach to mining geospatial knowledge from social annotations [link]Paper   doi   link   bibtex   14 downloads  
Semi-automatically Mapping Structured Sources into the Semantic Web. Knoblock, C. A.; Szekely, P. A.; Ambite, J. L.; Goel, A.; Gupta, S.; Lerman, K.; Muslea, M.; Taheriyan, M.; and Mallick, P. In Simperl, E.; Cimiano, P.; Polleres, A.; Corcho, Ó.; and Presutti, V., editor(s), The Semantic Web: Research and Applications - 9th Extended Semantic Web Conference, ESWC 2012, Heraklion, Crete, Greece, May 27-31, 2012. Proceedings, volume 7295, of Lecture Notes in Computer Science, pages 375–390, 2012. Springer
Semi-automatically Mapping Structured Sources into the Semantic Web [link]Paper   doi   link   bibtex  
Characterising Emergent Semantics in Twitter Lists. García-Silva, A.; Kang, J.; Lerman, K.; and Corcho, Ó. In Simperl, E.; Cimiano, P.; Polleres, A.; Corcho, Ó.; and Presutti, V., editor(s), The Semantic Web: Research and Applications - 9th Extended Semantic Web Conference, ESWC 2012, Heraklion, Crete, Greece, May 27-31, 2012. Proceedings, volume 7295, of Lecture Notes in Computer Science, pages 530–544, 2012. Springer
Characterising Emergent Semantics in Twitter Lists [link]Paper   doi   link   bibtex  
How Visibility and Divided Attention Constrain Social Contagion. Hodas, N. O.; and Lerman, K. In 2012 International Conference on Privacy, Security, Risk and Trust, PASSAT 2012, and 2012 International Confernece on Social Computing, SocialCom 2012, Amsterdam, Netherlands, September 3-5, 2012, pages 249–257, 2012. IEEE Computer Society
How Visibility and Divided Attention Constrain Social Contagion [link]Paper   doi   link   bibtex  
Using proximity to predict activity in social networks. Lerman, K.; Intagorn, S.; Kang, J.; and Ghosh, R. In Mille, A.; Gandon, F.; Misselis, J.; Rabinovich, M.; and Staab, S., editor(s), Proceedings of the 21st World Wide Web Conference, WWW 2012, Lyon, France, April 16-20, 2012 (Companion Volume), pages 555–556, 2012. ACM
Using proximity to predict activity in social networks [link]Paper   doi   link   bibtex   4 downloads  
The Role of Dynamic Interactions in Multi-scale Analysis of Network Structure. Ghosh, R.; and Lerman, K. CoRR, abs/1201.2383. 2012.
The Role of Dynamic Interactions in Multi-scale Analysis of Network Structure [link]Paper   link   bibtex   4 downloads  
Social Dynamics of Digg. Hogg, T.; and Lerman, K. CoRR, abs/1202.0031. 2012.
Social Dynamics of Digg [link]Paper   link   bibtex   17 downloads  
Social Contagion: An Empirical Study of Information Spread on Digg and Twitter Follower Graphs. Lerman, K.; Ghosh, R.; and Surachawala, T. CoRR, abs/1202.3162. 2012.
Social Contagion: An Empirical Study of Information Spread on Digg and Twitter Follower Graphs [link]Paper   link   bibtex   31 downloads  
Network Structure, Topology and Dynamics in Generalized Models of Synchronization. Lerman, K.; and Ghosh, R. CoRR, abs/1203.1338. 2012.
Network Structure, Topology and Dynamics in Generalized Models of Synchronization [link]Paper   link   bibtex   12 downloads  
How Visibility and Divided Attention Constrain Social Contagion. Hodas, N. O.; and Lerman, K. CoRR, abs/1205.2736. 2012.
How Visibility and Divided Attention Constrain Social Contagion [link]Paper   link   bibtex  
Rethinking Centrality: The Role of Dynamical Processes in Social Network Analysis. Ghosh, R.; and Lerman, K. CoRR, abs/1209.4616. 2012.
Rethinking Centrality: The Role of Dynamical Processes in Social Network Analysis [link]Paper   link   bibtex   3 downloads  
  2011 (17)
Mining Geospatial Knowledge on the Social Web. Intagorn, S.; and Lerman, K. Int. J. Inf. Syst. Crisis Response Manag., 3(2): 33–47. 2011.
Mining Geospatial Knowledge on the Social Web [link]Paper   doi   link   bibtex   2 downloads  
Using Conditional Random Fields to Exploit Token Structure and Labels for Accurate Semantic Annotation. Goel, A.; Knoblock, C. A.; and Lerman, K. In Burgard, W.; and Roth, D., editor(s), Proceedings of the Twenty-Fifth AAAI Conference on Artificial Intelligence, AAAI 2011, San Francisco, California, USA, August 7-11, 2011, pages 1784–1785, 2011. AAAI Press
Using Conditional Random Fields to Exploit Token Structure and Labels for Accurate Semantic Annotation [link]Paper   doi   link   bibtex   39 downloads  
Learning boundaries of vague places from noisy annotations. Intagorn, S.; and Lerman, K. In Cruz, I. F.; Agrawal, D.; Jensen, C. S.; Ofek, E.; and Tanin, E., editor(s), 19th ACM SIGSPATIAL International Symposium on Advances in Geographic Information Systems, ACM-GIS 2011, November 1-4, 2011, Chicago, IL, USA, Proceedings, pages 425–428, 2011. ACM
Learning boundaries of vague places from noisy annotations [link]Paper   doi   link   bibtex   1 download  
Time-Aware Ranking in Dynamic Citation Networks. Ghosh, R.; Kuo, T.; Hsu, C.; Lin, S.; and Lerman, K. In Spiliopoulou, M.; Wang, H.; Cook, D. J.; Pei, J.; Wang, W.; Zaïane, O. R.; and Wu, X., editor(s), Data Mining Workshops (ICDMW), 2011 IEEE 11th International Conference on, Vancouver, BC, Canada, December 11, 2011, pages 373–380, 2011. IEEE Computer Society
Time-Aware Ranking in Dynamic Citation Networks [link]Paper   doi   link   bibtex   8 downloads  
Social Mechanics: An Empirically Grounded Science of Social Media. Lerman, K.; Galstyan, A.; Steeg, G. V.; and Hogg, T. In The Future of the Social Web, Papers from the 2011 ICWSM Workshop, Barcelona, Catalonia, Spain, July 21, 2011, volume WS-11-03, of AAAI Technical Report, 2011. AAAI
Social Mechanics: An Empirically Grounded Science of Social Media [link]Paper   link   bibtex   4 downloads  
What Stops Social Epidemics?. Steeg, G. V.; Ghosh, R.; and Lerman, K. In Adamic, L. A.; Baeza-Yates, R.; and Counts, S., editor(s), Proceedings of the Fifth International Conference on Weblogs and Social Media, Barcelona, Catalonia, Spain, July 17-21, 2011, 2011. The AAAI Press
What Stops Social Epidemics? [link]Paper   link   bibtex  
Interactively Mapping Data Sources into the Semantic Web. Knoblock, C. A.; Szekely, P. A.; Ambite, J. L.; Gupta, S.; Goel, A.; Muslea, M.; Lerman, K.; and Mallick, P. In Kauppinen, T.; Pouchard, L. C.; and Keßler, C., editor(s), Proceedings of the First International Workshop on Linked Science 2011, Bonn, Germany, October 24, 2011, volume 783, of CEUR Workshop Proceedings, 2011. CEUR-WS.org
Interactively Mapping Data Sources into the Semantic Web [pdf]Paper   link   bibtex   69 downloads  
Leveraging User Diversity to Harvest Knowledge on the Social Web. Kang, J.; and Lerman, K. In PASSAT/SocialCom 2011, Privacy, Security, Risk and Trust (PASSAT), 2011 IEEE Third International Conference on and 2011 IEEE Third International Conference on Social Computing (SocialCom), Boston, MA, USA, 9-11 Oct., 2011, pages 215–222, 2011. IEEE Computer Society
Leveraging User Diversity to Harvest Knowledge on the Social Web [link]Paper   doi   link   bibtex   3 downloads  
A probabilistic approach for learning folksonomies from structured data. Plangprasopchok, A.; Lerman, K.; and Getoor, L. In King, I.; Nejdl, W.; and Li, H., editor(s), Proceedings of the Forth International Conference on Web Search and Web Data Mining, WSDM 2011, Hong Kong, China, February 9-12, 2011, pages 555–564, 2011. ACM
A probabilistic approach for learning folksonomies from structured data [link]Paper   doi   link   bibtex   1 download  
A framework for quantitative analysis of cascades on networks. Ghosh, R.; and Lerman, K. In King, I.; Nejdl, W.; and Li, H., editor(s), Proceedings of the Forth International Conference on Web Search and Web Data Mining, WSDM 2011, Hong Kong, China, February 9-12, 2011, pages 665–674, 2011. ACM
A framework for quantitative analysis of cascades on networks [link]Paper   doi   link   bibtex   11 downloads  
Pragmatic evaluation of folksonomies. Helic, D.; Strohmaier, M.; Trattner, C.; Muhr, M.; and Lerman, K. In Srinivasan, S.; Ramamritham, K.; Kumar, A.; Ravindra, M. P.; Bertino, E.; and Kumar, R., editor(s), Proceedings of the 20th International Conference on World Wide Web, WWW 2011, Hyderabad, India, March 28 - April 1, 2011, pages 417–426, 2011. ACM
Pragmatic evaluation of folksonomies [link]Paper   doi   link   bibtex   2 downloads  
What stops social epidemics?. Steeg, G. V.; Ghosh, R.; and Lerman, K. CoRR, abs/1102.1985. 2011.
What stops social epidemics? [link]Paper   link   bibtex  
Non-Conservative Diffusion and its Application to Social Network Analysis. Ghosh, R.; Lerman, K.; Surachawala, T.; Voevodski, K.; and Teng, S. CoRR, abs/1102.4639. 2011.
Non-Conservative Diffusion and its Application to Social Network Analysis [link]Paper   link   bibtex   6 downloads  
Entropy-based Classification of 'Retweeting' Activity on Twitter. Ghosh, R.; Surachawala, T.; and Lerman, K. CoRR, abs/1106.0346. 2011.
Entropy-based Classification of 'Retweeting' Activity on Twitter [link]Paper   link   bibtex   13 downloads  
Wrapper Maintenance: A Machine Learning Approach. Knoblock, C. A.; Lerman, K.; and Minton, S. CoRR, abs/1106.4872. 2011.
Wrapper Maintenance: A Machine Learning Approach [link]Paper   link   bibtex  
Leveraging User Diversity to Harvest Knowledge on the Social Web. Kang, J.; and Lerman, K. CoRR, abs/1110.4851. 2011.
Leveraging User Diversity to Harvest Knowledge on the Social Web [link]Paper   link   bibtex   3 downloads  
Using Proximity to Predict Activity in Social Networks. Lerman, K.; Intagorn, S.; Kang, J.; and Ghosh, R. CoRR, abs/1112.2755. 2011.
Using Proximity to Predict Activity in Social Networks [link]Paper   link   bibtex  
  2010 (21)
Modeling Social Annotation: A Bayesian Approach. Plangprasopchok, A.; and Lerman, K. ACM Trans. Knowl. Discov. Data, 5(1): 4:1–4:32. 2010.
Modeling Social Annotation: A Bayesian Approach [link]Paper   doi   link   bibtex   10 downloads  
Constructing Folksonomies by Integrating Structured Metadata with Relational Clustering. Plangprasopchok, A.; Lerman, K.; and Getoor, L. In Collaboratively-Built Knowledge Sources and Artificial Intelligence, Papers from the 2010 AAAI Workshop, Atlanta, Georgia, USA, July 11, 2010, volume WS-10-02, of AAAI Technical Report, 2010. AAAI
Constructing Folksonomies by Integrating Structured Metadata with Relational Clustering [link]Paper   link   bibtex  
Integrating Structured Metadata with Relational Affinity Propagation. Plangprasopchok, A.; Lerman, K.; and Getoor, L. In Statistical Relational Artificial Intelligence, Papers from the 2010 AAAI Workshop, Atlanta, Georgia, USA, July 12, 2010, volume WS-10-06, of AAAI Technical Report, 2010. AAAI
Integrating Structured Metadata with Relational Affinity Propagation [link]Paper   link   bibtex  
Social Dynamics of Digg. Hogg, T.; and Lerman, K. In Cohen, W. W.; and Gosling, S., editor(s), Proceedings of the Fourth International Conference on Weblogs and Social Media, ICWSM 2010, Washington, DC, USA, May 23-26, 2010, 2010. The AAAI Press
Social Dynamics of Digg [link]Paper   link   bibtex  
Information Contagion: An Empirical Study of the Spread of News on Digg and Twitter Social Networks. Lerman, K.; and Ghosh, R. In Cohen, W. W.; and Gosling, S., editor(s), Proceedings of the Fourth International Conference on Weblogs and Social Media, ICWSM 2010, Washington, DC, USA, May 23-26, 2010, 2010. The AAAI Press
Information Contagion: An Empirical Study of the Spread of News on Digg and Twitter Social Networks [link]Paper   link   bibtex  
Harvesting geospatial knowledge from social metadata. Intagorn, S.; Plangprasopchok, A.; and Lerman, K. In French, S.; Tomaszewski, B. M.; and Zobel, C. W., editor(s), 7th Proceedings of the International Conference on Information Systems for Crisis Response and Management, Seattle, WA, USA, May, 2010, 2010. ISCRAM, Seattle, USA
Harvesting geospatial knowledge from social metadata [pdf]Paper   link   bibtex  
Analyzing microblogs with affinity propagation. Kang, J.; Lerman, K.; and Plangprasopchok, A. In Melville, P.; Leskovec, J.; and Provost, F. J., editor(s), Proceedings of the First Workshop on Social Media Analytics, SOMA@KDD 2010, Washington, DC, USA, July 25, 2010, pages 67–70, 2010. ACM
Analyzing microblogs with affinity propagation [link]Paper   doi   link   bibtex  
Growing a tree in the forest: constructing folksonomies by integrating structured metadata. Plangprasopchok, A.; Lerman, K.; and Getoor, L. In Rao, B.; Krishnapuram, B.; Tomkins, A.; and Yang, Q., editor(s), Proceedings of the 16th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, Washington, DC, USA, July 25-28, 2010, pages 949–958, 2010. ACM
Growing a tree in the forest: constructing folksonomies by integrating structured metadata [link]Paper   doi   link   bibtex   11 downloads  
Centrality metric for dynamic networks. Lerman, K.; Ghosh, R.; and Kang, J. In Brefeld, U.; Getoor, L.; and Macskassy, S. A., editor(s), Proceedings of the Eighth Workshop on Mining and Learning with Graphs, MLG '10, Washington, D.C., USA, July 24-25, 2010, pages 70–77, 2010. ACM
Centrality metric for dynamic networks [link]Paper   doi   link   bibtex  
Using a model of social dynamics to predict popularity of news. Lerman, K.; and Hogg, T. In Rappa, M.; Jones, P.; Freire, J.; and Chakrabarti, S., editor(s), Proceedings of the 19th International Conference on World Wide Web, WWW 2010, Raleigh, North Carolina, USA, April 26-30, 2010, pages 621–630, 2010. ACM
Using a model of social dynamics to predict popularity of news [link]Paper   doi   link   bibtex   10 downloads  
Constructing folksonomies by integrating structured metadata. Plangprasopchok, A.; Lerman, K.; and Getoor, L. In Rappa, M.; Jones, P.; Freire, J.; and Chakrabarti, S., editor(s), Proceedings of the 19th International Conference on World Wide Web, WWW 2010, Raleigh, North Carolina, USA, April 26-30, 2010, pages 1165–1166, 2010. ACM
Constructing folksonomies by integrating structured metadata [link]Paper   doi   link   bibtex  
Information Contagion: an Empirical Study of the Spread of News on Digg and Twitter Social Networks. Lerman, K.; and Ghosh, R. CoRR, abs/1003.2664. 2010.
Information Contagion: an Empirical Study of the Spread of News on Digg and Twitter Social Networks [link]Paper   link   bibtex  
Using a Model of Social Dynamics to Predict Popularity of News. Lerman, K.; and Hogg, T. CoRR, abs/1004.5354. 2010.
Using a Model of Social Dynamics to Predict Popularity of News [link]Paper   link   bibtex   10 downloads  
Predicting Influential Users in Online Social Networks. Ghosh, R.; and Lerman, K. CoRR, abs/1005.4882. 2010.
Predicting Influential Users in Online Social Networks [link]Paper   link   bibtex   13 downloads  
Integrating Structured Metadata with Relational Affinity Propagation. Plangprasopchok, A.; Lerman, K.; and Getoor, L. CoRR, abs/1005.4963. 2010.
Integrating Structured Metadata with Relational Affinity Propagation [link]Paper   link   bibtex  
Growing a Tree in the Forest: Constructing Folksonomies by Integrating Structured Metadata. Plangprasopchok, A.; Lerman, K.; and Getoor, L. CoRR, abs/1005.5114. 2010.
Growing a Tree in the Forest: Constructing Folksonomies by Integrating Structured Metadata [link]Paper   link   bibtex   11 downloads  
Centrality Metric for Dynamic Networks. Lerman, K.; Ghosh, R.; and Kang, J. CoRR, abs/1006.0526. 2010.
Centrality Metric for Dynamic Networks [link]Paper   link   bibtex  
Using Stochastic Models to Describe and Predict Social Dynamics of Web Users. Lerman, K.; and Hogg, T. CoRR, abs/1010.0237. 2010.
Using Stochastic Models to Describe and Predict Social Dynamics of Web Users [link]Paper   link   bibtex  
A Parameterized Centrality Metric for Network Analysis. Ghosh, R.; and Lerman, K. CoRR, abs/1010.4247. 2010.
A Parameterized Centrality Metric for Network Analysis [link]Paper   link   bibtex  
A Probabilistic Approach for Learning Folksonomies from Structured Data. Plangprasopchok, A.; Lerman, K.; and Getoor, L. CoRR, abs/1011.3557. 2010.
A Probabilistic Approach for Learning Folksonomies from Structured Data [link]Paper   link   bibtex  
A Framework for Quantitative Analysis of Cascades on Networks. Ghosh, R.; and Lerman, K. CoRR, abs/1011.3571. 2010.
A Framework for Quantitative Analysis of Cascades on Networks [link]Paper   link   bibtex  
  2009 (9)
Stochastic Models of Large-Scale Human Behavior on the Web. Lerman, K.; and Hogg, T. In Human Behavior Modeling, Papers from the 2009 AAAI Spring Symposium, Technical Report SS-09-04, Stanford, California, USA, March 23-25, 2009, pages 37–42, 2009. AAAI
Stochastic Models of Large-Scale Human Behavior on the Web [link]Paper   link   bibtex  
Structure of Heterogeneous Networks. Ghosh, R.; and Lerman, K. In Proceedings of the 12th IEEE International Conference on Computational Science and Engineering, CSE 2009, Vancouver, BC, Canada, August 29-31, 2009, pages 98–105, 2009. IEEE Computer Society
Structure of Heterogeneous Networks [link]Paper   doi   link   bibtex   6 downloads  
Leaders and Negotiators: An Influence-based Metric for Rank. Ghosh, R.; and Lerman, K. In Adar, E.; Hurst, M.; Finin, T.; Glance, N. S.; Nicolov, N.; and Tseng, B. L., editor(s), Proceedings of the Third International Conference on Weblogs and Social Media, ICWSM 2009, San Jose, California, USA, May 17-20, 2009, 2009. The AAAI Press
Leaders and Negotiators: An Influence-based Metric for Rank [link]Paper   link   bibtex  
Stochastic Models of User-Contributory Web Sites. Hogg, T.; and Lerman, K. In Adar, E.; Hurst, M.; Finin, T.; Glance, N. S.; Nicolov, N.; and Tseng, B. L., editor(s), Proceedings of the Third International Conference on Weblogs and Social Media, ICWSM 2009, San Jose, California, USA, May 17-20, 2009, 2009. The AAAI Press
Stochastic Models of User-Contributory Web Sites [link]Paper   link   bibtex   4 downloads  
Automatically Constructing Semantic Web Services from Online Sources. Ambite, J. L.; Darbha, S.; Goel, A.; Knoblock, C. A.; Lerman, K.; Parundekar, R.; and Russ, T. A. In Bernstein, A.; Karger, D. R.; Heath, T.; Feigenbaum, L.; Maynard, D.; Motta, E.; and Thirunarayan, K., editor(s), The Semantic Web - ISWC 2009, 8th International Semantic Web Conference, ISWC 2009, Chantilly, VA, USA, October 25-29, 2009. Proceedings, volume 5823, of Lecture Notes in Computer Science, pages 17–32, 2009. Springer
Automatically Constructing Semantic Web Services from Online Sources [link]Paper   doi   link   bibtex   6 downloads  
Constructing folksonomies from user-specified relations on flickr. Plangprasopchok, A.; and Lerman, K. In Quemada, J.; León, G.; Maarek, Y. S.; and Nejdl, W., editor(s), Proceedings of the 18th International Conference on World Wide Web, WWW 2009, Madrid, Spain, April 20-24, 2009, pages 781–790, 2009. ACM
Constructing folksonomies from user-specified relations on flickr [link]Paper   doi   link   bibtex   4 downloads  
Wrapper Maintenance. Lerman, K.; and Knoblock, C. A. In Liu, L.; and Özsu, M. T., editor(s), Encyclopedia of Database Systems, pages 3565–3569. Springer US, 2009.
Wrapper Maintenance [link]Paper   doi   link   bibtex   2 downloads  
Stochastic Models of User-Contributory Web Sites. Hogg, T.; and Lerman, K. CoRR, abs/0904.0016. 2009.
Stochastic Models of User-Contributory Web Sites [link]Paper   link   bibtex   4 downloads  
Structure of Heterogeneous Networks. Ghosh, R.; and Lerman, K. CoRR, abs/0906.2212. 2009.
Structure of Heterogeneous Networks [link]Paper   link   bibtex   6 downloads  
  2008 (13)
AAAI 2008 Spring Symposia Reports. Balduccini, M.; Baral, C.; Brodaric, B.; Colton, S.; Fox, P.; Gutelius, D.; Hinkelmann, K.; Horswill, I.; Huberman, B. A.; Hudlicka, E.; Lerman, K.; Lisetti, C. L.; McGuinness, D. L.; Maher, M. L.; Musen, M. A.; Sahami, M.; Sleeman, D. H.; Thönssen, B.; Velásquez, J. D.; and Ventura, D. AI Mag., 29(3): 107–115. 2008.
AAAI 2008 Spring Symposia Reports [link]Paper   doi   link   bibtex  
Top-down vs bottom-up methodologies in multi-agent system design. Crespi, V.; Galstyan, A.; and Lerman, K. Auton. Robots, 24(3): 303–313. 2008.
Top-down vs bottom-up methodologies in multi-agent system design [link]Paper   doi   link   bibtex  
Information Integration for the Masses. Blythe, J.; Kapoor, D.; Knoblock, C. A.; Lerman, K.; and Minton, S. J. Univers. Comput. Sci., 14(11): 1811–1837. 2008.
Information Integration for the Masses [link]Paper   doi   link   bibtex   1 download  
Organizing Committee. Lerman, K.; Gutelius, D.; Huberman, B. A.; and Merugu, S. In Social Information Processing, Papers from the 2008 AAAI Spring Symposium, Technical Report SS-08-06, Stanford, California, USA, March 26-28, 2008, pages 1, 2008. AAAI
Organizing Committee [link]Paper   link   bibtex  
On Constructing Shallow Taxonomies from Social Annotations. Plangprasopchok, A.; and Lerman, K. In Social Information Processing, Papers from the 2008 AAAI Spring Symposium, Technical Report SS-08-06, Stanford, California, USA, March 26-28, 2008, pages 78–80, 2008. AAAI
On Constructing Shallow Taxonomies from Social Annotations [link]Paper   link   bibtex  
Exploiting Data Semantics to Discover, Extract, and Model Web Sources. Ambite, J. L.; Knoblock, C. A.; Lerman, K.; Plangprasopchok, A.; Russ, T. A.; Gazen, C.; Minton, S.; and Carman, M. J. In Workshops Proceedings of the 8th IEEE International Conference on Data Mining (ICDM 2008), December 15-19, 2008, Pisa, Italy, pages 771–779, 2008. IEEE Computer Society
Exploiting Data Semantics to Discover, Extract, and Model Web Sources [link]Paper   doi   link   bibtex   1 download  
Model-guided performance tuning of parameter values: A case study with molecular dynamics visualization. Nelson, Y. L.; Bansal, B.; Hall, M. W.; Nakano, A.; and Lerman, K. In 22nd IEEE International Symposium on Parallel and Distributed Processing, IPDPS 2008, Miami, Florida USA, April 14-18, 2008, pages 1–8, 2008. IEEE
Model-guided performance tuning of parameter values: A case study with molecular dynamics visualization [link]Paper   doi   link   bibtex  
Community Detection Using a Measure of Global Influence. Ghosh, R.; and Lerman, K. In Giles, C. L.; Smith, M.; Yen, J.; and Zhang, H., editor(s), Advances in Social Network Mining and Analysis, Second International Workshop, SNAKDD 2008, Las Vegas, NV, USA, August 24-27, 2008, Revised Selected Papers, volume 5498, of Lecture Notes in Computer Science, pages 20–35, 2008. Springer
Community Detection Using a Measure of Global Influence [link]Paper   doi   link   bibtex   4 downloads  
Analysis of social voting patterns on digg. Lerman, K.; and Galstyan, A. In Faloutsos, C.; Karagiannis, T.; and Rodriguez, P., editor(s), Proceedings of the first Workshop on Online Social Networks, WOSN 2008, Seattle, WA, USA, August 17-22, 2008, pages 7–12, 2008. ACM
Analysis of social voting patterns on digg [link]Paper   doi   link   bibtex   4 downloads  
Constructing Folksonomies from User-specified Relations on Flickr. Plangprasopchok, A.; and Lerman, K. CoRR, abs/0805.3747. 2008.
Constructing Folksonomies from User-specified Relations on Flickr [link]Paper   link   bibtex  
Community Detection using a Measure of Global Influence. Ghosh, R.; and Lerman, K. CoRR, abs/0805.4606. 2008.
Community Detection using a Measure of Global Influence [link]Paper   link   bibtex   4 downloads  
Analysis of Social Voting Patterns on Digg. Lerman, K.; and Galstyan, A. CoRR, abs/0806.1918. 2008.
Analysis of Social Voting Patterns on Digg [link]Paper   link   bibtex   4 downloads  
Modeling Social Annotation: a Bayesian Approach. Plangprasopchok, A.; and Lerman, K. CoRR, abs/0811.1319. 2008.
Modeling Social Annotation: a Bayesian Approach [link]Paper   link   bibtex  
  2007 (12)
Semantic Labeling of Online Information Sources. Lerman, K.; Plangprasopchok, A.; and Knoblock, C. A. Int. J. Semantic Web Inf. Syst., 3(3): 36–56. 2007.
Semantic Labeling of Online Information Sources [link]Paper   doi   link   bibtex   6 downloads  
Social Information Processing in News Aggregation. Lerman, K. IEEE Internet Comput., 11(6): 16–28. 2007.
Social Information Processing in News Aggregation [link]Paper   doi   link   bibtex  
User Participation in Social Media: Digg Study. Lerman, K. In Proceedings of the 2007 IEEE/WIC/ACM International Conference on Web Intelligence and International Conference on Intelligent Agent Technology - Workshops, 2-5 November 2007, Silicon Valley, CA, USA, pages 255–258, 2007. IEEE Computer Society
User Participation in Social Media: Digg Study [link]Paper   doi   link   bibtex   5 downloads  
Social Networks and Social Information Filtering on Digg. Lerman, K. In Glance, N. S.; Nicolov, N.; Adar, E.; Hurst, M.; Liberman, M.; and Salvetti, F., editor(s), Proceedings of the First International Conference on Weblogs and Social Media, ICWSM 2007, Boulder, Colorado, USA, March 26-28, 2007, 2007.
Social Networks and Social Information Filtering on Digg [link]Paper   link   bibtex   9 downloads  
Social Browsing on Flickr. Lerman, K.; and Jones, L. In Glance, N. S.; Nicolov, N.; Adar, E.; Hurst, M.; Liberman, M.; and Salvetti, F., editor(s), Proceedings of the First International Conference on Weblogs and Social Media, ICWSM 2007, Boulder, Colorado, USA, March 26-28, 2007, 2007.
Social Browsing on Flickr [link]Paper   link   bibtex   6 downloads  
Intelligent Optimization of Parallel and Distributed Applications. Bansal, B.; Çatalyürek, Ü. V.; Chame, J.; Chen, C.; Deelman, E.; Gil, Y.; Hall, M. W.; Kumar, V. S.; Kurç, T. M.; Lerman, K.; Nakano, A.; Nelson, Y. L.; Saltz, J. H.; Sharma, A.; and Vashishta, P. In 21th International Parallel and Distributed Processing Symposium (IPDPS 2007), Proceedings, 26-30 March 2007, Long Beach, California, USA, pages 1–6, 2007. IEEE
Intelligent Optimization of Parallel and Distributed Applications [link]Paper   doi   link   bibtex  
Dynamics of a Collaborative Rating System. Lerman, K. In Zhang, H.; Spiliopoulou, M.; Mobasher, B.; Giles, C. L.; McCallum, A.; Nasraoui, O.; Srivastava, J.; and Yen, J., editor(s), Advances in Web Mining and Web Usage Analysis, 9th International Workshop on Knowledge Discovery on the Web, WebKDD 2007, and 1st International Workshop on Social Networks Analysis, SNA-KDD 2007, San Jose, CA, USA, August 12-15, 2007. Revised Papers, volume 5439, of Lecture Notes in Computer Science, pages 77–96, 2007. Springer
Dynamics of a Collaborative Rating System [link]Paper   doi   link   bibtex  
Exploiting Social Annotation for Automatic Resource Discovery. Plangprasopchok, A.; and Lerman, K. CoRR, abs/0704.1675. 2007.
Exploiting Social Annotation for Automatic Resource Discovery [link]Paper   link   bibtex  
Personalizing Image Search Results on Flickr. Lerman, K.; Plangprasopchok, A.; and Wong, C. CoRR, abs/0704.1676. 2007.
Personalizing Image Search Results on Flickr [link]Paper   link   bibtex  
User Participation in Social Media: Digg Study. Lerman, K. CoRR, abs/0708.2414. 2007.
User Participation in Social Media: Digg Study [link]Paper   link   bibtex   5 downloads  
Social Browsing & Information Filtering in Social Media. Lerman, K. CoRR, abs/0710.5697. 2007.
Social Browsing & Information Filtering in Social Media [link]Paper   link   bibtex  
Social Information Processing in Social News Aggregation. Lerman, K. CoRR, abs/cs/0703087. 2007.
Social Information Processing in Social News Aggregation [link]Paper   link   bibtex   6 downloads  
  2006 (6)
Analysis of Dynamic Task Allocation in Multi-Robot Systems. Lerman, K.; Jones, C. V.; Galstyan, A.; and Mataric, M. J. Int. J. Robotics Res., 25(3): 225–241. 2006.
Analysis of Dynamic Task Allocation in Multi-Robot Systems [link]Paper   doi   link   bibtex  
Automatically Labeling the Inputs and Outputs of Web Services. Lerman, K.; Plangprasopchok, A.; and Knoblock, C. A. In Proceedings, The Twenty-First National Conference on Artificial Intelligence and the Eighteenth Innovative Applications of Artificial Intelligence Conference, July 16-20, 2006, Boston, Massachusetts, USA, pages 1363–1368, 2006. AAAI Press
Automatically Labeling the Inputs and Outputs of Web Services [link]Paper   link   bibtex   1 download  
Modeling and Mathematical Analysis of Swarms of Microscopic Robots. Galstyan, A.; Hogg, T.; and Lerman, K. CoRR, abs/cs/0604110. 2006.
Modeling and Mathematical Analysis of Swarms of Microscopic Robots [link]Paper   link   bibtex  
Analysis of Dynamic Task Allocation in Multi-Robot Systems. Lerman, K.; Jones, C. V.; Galstyan, A.; and Mataric, M. J. CoRR, abs/cs/0604111. 2006.
Analysis of Dynamic Task Allocation in Multi-Robot Systems [link]Paper   link   bibtex  
Social Networks and Social Information Filtering on Digg. Lerman, K. CoRR, abs/cs/0612046. 2006.
Social Networks and Social Information Filtering on Digg [link]Paper   link   bibtex  
Social Browsing on Flickr. Lerman, K.; and Jones, L. CoRR, abs/cs/0612047. 2006.
Social Browsing on Flickr [link]Paper   link   bibtex  
  2005 (4)
Resource Allocation in the Grid with Learning Agents. Galstyan, A.; Czajkowski, K.; and Lerman, K. J. Grid Comput., 3(1-2): 91–100. 2005.
Resource Allocation in the Grid with Learning Agents [link]Paper   doi   link   bibtex  
Comparative analysis of top-down and bottom-up methodologies for multi-agent system design. Crespi, V.; Galstyan, A.; and Lerman, K. In Dignum, F.; Dignum, V.; Koenig, S.; Kraus, S.; Singh, M. P.; and Wooldridge, M. J., editor(s), 4th International Joint Conference on Autonomous Agents and Multiagent Systems (AAMAS 2005), July 25-29, 2005, Utrecht, The Netherlands, pages 1159–1160, 2005. ACM
Comparative analysis of top-down and bottom-up methodologies for multi-agent system design [link]Paper   doi   link   bibtex  
A Systematic Approach to Model-Guided Empirical Search for Memory Hierarchy Optimization. Chen, C.; Chame, J.; Hall, M. W.; and Lerman, K. In Ayguadé, E.; Baumgartner, G.; Ramanujam, J.; and Sadayappan, P., editor(s), Languages and Compilers for Parallel Computing, 18th International Workshop, LCPC 2005, Hawthorne, NY, USA, October 20-22, 2005, Revised Selected Papers, volume 4339, of Lecture Notes in Computer Science, pages 433–440, 2005. Springer
A Systematic Approach to Model-Guided Empirical Search for Memory Hierarchy Optimization [link]Paper   doi   link   bibtex  
Modeling and mathematical analysis of swarms of microscopic robots. Galstyan, A.; Hogg, T.; and Lerman, K. In 2005 IEEE Swarm Intelligence Symposium, SIS 2005, Pasadena, California, USA, June 8-10, 2005, pages 201–208, 2005. IEEE
Modeling and mathematical analysis of swarms of microscopic robots [link]Paper   doi   link   bibtex   7 downloads  
  2004 (7)
A Model of Adaptation in Collaborative Multi-Agent Systems. Lerman, K. Adapt. Behav., 12(3-4): 187–197. 2004.
A Model of Adaptation in Collaborative Multi-Agent Systems [link]Paper   doi   link   bibtex   2 downloads  
Analysis of a Stochastic Model of Adaptive Task Allocation in Robots. Galstyan, A.; and Lerman, K. In Brueckner, S.; Serugendo, G. D. M.; Karageorgos, A.; and Nagpal, R., editor(s), Engineering Self-Organising Systems, Methodologies and Applications [revised versions of papers presented at the Engineering Selforganising Applications (ESOA 2004) workshop, held during the Autonomous Agents and Multi-agent Systems conference (AAMAS 2004) in New York in July 2004, and selected invited papers], volume 3464, of Lecture Notes in Computer Science, pages 167–179, 2004. Springer
Analysis of a Stochastic Model of Adaptive Task Allocation in Robots [link]Paper   doi   link   bibtex  
Resource Allocation in the Grid Using Reinforcement Learning. Galstyan, A.; Czajkowski, K.; and Lerman, K. In 3rd International Joint Conference on Autonomous Agents and Multiagent Systems (AAMAS 2004), 19-23 August 2004, New York, NY, USA, pages 1314–1315, 2004. IEEE Computer Society
Resource Allocation in the Grid Using Reinforcement Learning [link]Paper   doi   link   bibtex  
Distributed online localization in sensor networks using a moving target. Galstyan, A.; Krishnamachari, B.; Lerman, K.; and Pattem, S. In Ramchandran, K.; Sztipanovits, J.; Hou, J. C.; and Pappas, T. N., editor(s), Proceedings of the Third International Symposium on Information Processing in Sensor Networks, IPSN 2004, Berkeley, California, USA, April 26-27, 2004, pages 61–70, 2004. ACM
Distributed online localization in sensor networks using a moving target [link]Paper   doi   link   bibtex  
A Review of Probabilistic Macroscopic Models for Swarm Robotic Systems. Lerman, K.; Martinoli, A.; and Galstyan, A. In Sahin, E.; and Spears, W. M., editor(s), Swarm Robotics, SAB 2004 International Workshop, Santa Monica, CA, USA, July 17, 2004, Revised Selected Papers, volume 3342, of Lecture Notes in Computer Science, pages 143–152, 2004. Springer
A Review of Probabilistic Macroscopic Models for Swarm Robotic Systems [link]Paper   doi   link   bibtex  
Using the Structure of Web Sites for Automatic Segmentation of Tables. Lerman, K.; Getoor, L.; Minton, S.; and Knoblock, C. A. In Weikum, G.; König, A. C.; and Deßloch, S., editor(s), Proceedings of the ACM SIGMOD International Conference on Management of Data, Paris, France, June 13-18, 2004, pages 119–130, 2004. ACM
Using the Structure of Web Sites for Automatic Segmentation of Tables [link]Paper   doi   link   bibtex  
Mathematical Analysis of Multi-Agent Systems. Lerman, K.; Galstyan, A.; and Hogg, T. CoRR, cs.RO/0404002. 2004.
Mathematical Analysis of Multi-Agent Systems [link]Paper   link   bibtex  
  2003 (6)
Wrapper Maintenance: A Machine Learning Approach. Lerman, K.; Minton, S.; and Knoblock, C. A. J. Artif. Intell. Res., 18: 149–181. 2003.
Wrapper Maintenance: A Machine Learning Approach [link]Paper   doi   link   bibtex   3 downloads  
Resource allocation games with changing resource capacities. Galstyan, A.; Kolar, S.; and Lerman, K. In The Second International Joint Conference on Autonomous Agents & Multiagent Systems, AAMAS 2003, July 14-18, 2003, Melbourne, Victoria, Australia, Proceedings, pages 145–152, 2003. ACM
Resource allocation games with changing resource capacities [link]Paper   doi   link   bibtex   2 downloads  
Agent memory and adaptation in multi-agent systems. Lerman, K.; and Galstyan, A. In The Second International Joint Conference on Autonomous Agents & Multiagent Systems, AAMAS 2003, July 14-18, 2003, Melbourne, Victoria, Australia, Proceedings, pages 797–803, 2003. ACM
Agent memory and adaptation in multi-agent systems [link]Paper   doi   link   bibtex   2 downloads  
Threshold Behavior in a Boolean Network Model for SAT. Bugacov, A.; Galstyan, A.; and Lerman, K. In Arabnia, H. R.; Joshua, R.; and Mun, Y., editor(s), Proceedings of the International Conference on Artificial Intelligence, IC-AI '03, June 23 - 26, 2003, Las Vegas, Nevada, USA, Volume 1, pages 87–92, 2003. CSREA Press
link   bibtex  
Macroscopic analysis of adaptive task allocation in robots. Lerman, K.; and Galstyan, A. In 2003 IEEE/RSJ International Conference on Intelligent Robots and Systems, Las Vegas, Nevada, USA, October 27 - November 1, 2003, pages 1951–1956, 2003. IEEE
Macroscopic analysis of adaptive task allocation in robots [link]Paper   doi   link   bibtex  
Accurately and Reliably Extracting Data from the Web: A Machine Learning Approach. Knoblock, C. A.; Lerman, K.; Minton, S.; and Muslea, I. In Szczepaniak, P. S.; Segovia, J.; Kacprzyk, J.; and Zadeh, L. A., editor(s), Intelligent Exploration of the Web, volume 111, of Studies in Fuzziness and Soft Computing, pages 275–287. Springer, 2003.
Accurately and Reliably Extracting Data from the Web: A Machine Learning Approach [link]Paper   doi   link   bibtex  
  2002 (2)
Electric Elves: Agent Technology for Supporting Human Organizations. Chalupsky, H.; Gil, Y.; Knoblock, C. A.; Lerman, K.; Oh, J.; Pynadath, D. V.; Russ, T. A.; and Tambe, M. AI Mag., 23(2): 11–24. 2002.
Electric Elves: Agent Technology for Supporting Human Organizations [link]Paper   doi   link   bibtex  
Mathematical Model of Foraging in a Group of Robots: Effect of Interference. Lerman, K.; and Galstyan, A. Auton. Robots, 13(2): 127–141. 2002.
Mathematical Model of Foraging in a Group of Robots: Effect of Interference [link]Paper   doi   link   bibtex   2 downloads  
  2001 (2)
A Macroscopic Analytical Model of Collaboration in Distributed Robotic Systems. Lerman, K.; Galstyan, A.; Martinoli, A.; and Ijspeert, A. J. Artif. Life, 7(4): 375–393. 2001.
A Macroscopic Analytical Model of Collaboration in Distributed Robotic Systems [link]Paper   doi   link   bibtex   2 downloads  
Electric Elves: Applying Agent Technology to Support Human Organizations. Chalupsky, H.; Gil, Y.; Knoblock, C. A.; Lerman, K.; Oh, J.; Pynadath, D. V.; Russ, T. A.; and Tambe, M. In Hirsh, H.; and Chien, S. A., editor(s), Proceedings of the Thirteenth Innovative Applications of Artificial Intelligence Conference, August 7-9, 2001, Seattle, Washington, USA, pages 51–58, 2001. AAAI
link   bibtex   1 download  
  2000 (4)
Accurately and Reliably Extracting Data from the Web: A Machine Learning Approach. Knoblock, C. A.; Lerman, K.; Minton, S.; and Muslea, I. IEEE Data Eng. Bull., 23(4): 33–41. 2000.
Accurately and Reliably Extracting Data from the Web: A Machine Learning Approach [pdf]Paper   link   bibtex  
Learning the Common Structure of Data. Lerman, K.; and Minton, S. In Kautz, H. A.; and Porter, B. W., editor(s), Proceedings of the Seventeenth National Conference on Artificial Intelligence and Twelfth Conference on on Innovative Applications of Artificial Intelligence, July 30 - August 3, 2000, Austin, Texas, USA, pages 609–614, 2000. AAAI Press / The MIT Press
Learning the Common Structure of Data [link]Paper   link   bibtex   6 downloads  
Design and Mathematical Analysis of Agent-Based Systems. Lerman, K. In Rash, J. L.; Rouff, C. A.; Truszkowski, W.; Gordon, D. F.; and Hinchey, M. G., editor(s), Formal Approaches to Agent-Based Systems, First International Workshop, FAABS 2000 Greenbelt, MD, USA, April 5-7, 2000, Revised Papers, volume 1871, of Lecture Notes in Computer Science, pages 222–234, 2000. Springer
Design and Mathematical Analysis of Agent-Based Systems [link]Paper   doi   link   bibtex  
Coalition Formation for Large-Scale Electronic Markets. Lerman, K.; and Shehory, O. In 4th International Conference on Multi-Agent Systems, ICMAS 2000, Boston, MA, USA, July 10-12, 2000, pages 167–174, 2000. IEEE Computer Society
Coalition Formation for Large-Scale Electronic Markets [link]Paper   doi   link   bibtex   1 download