generated by bibbase.org
  2022 (19)
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  
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  
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  
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  
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 (24)
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  
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  
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  
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  
  2018 (28)
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  
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   link   bibtex  
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  
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  
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  
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  
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  
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  
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   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  
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  
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.; 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.; 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