Discovering trust patterns in ego networks. Akcora, C. G. & Ferrari, E. In Wu, X., Ester, M., & Xu, G., editors, 2014 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining, ASONAM 2014, Beijing, China, August 17-20, 2014, pages 224–229, 2014. IEEE Computer Society.
Discovering trust patterns in ego networks [link]Paper  doi  abstract   bibtex   
In the past decade, online social networks have provided invaluable data in understanding how social networks change in time while attracting new users and fostering relationships among members. The concept of social trust was developed to explain why and how much users trust each other to become friends or expose their personal data. Existing work on social trust analyze behavioral features and profile attributes to find trust between pairs of users. Although useful, these works suffer from the problem of incomplete, inaccurate and inconsistent social network data. We approach the problem of analyzing trust from an ego network perspective. We observe new friendships, group formations and structural roles of users in ego networks to outline three trust questions. Answers to these questions provide insights into how social trust can be measured from user connections.
@inproceedings{DBLP:conf/asunam/AkcoraF14,
title = {Discovering trust patterns in ego networks},
author = {Cuneyt Gurcan Akcora and Elena Ferrari},
editor = {Xindong Wu and Martin Ester and Guandong Xu},
url = {https://doi.org/10.1109/ASONAM.2014.6921587},
doi = {10.1109/ASONAM.2014.6921587},
year  = {2014},
date = {2014-01-01},
booktitle = {2014 IEEE/ACM International Conference on Advances in Social Networks 
 Analysis and Mining, ASONAM 2014, Beijing, China, August 17-20, 
 2014},
pages = {224--229},
publisher = {IEEE Computer Society},
abstract = {In the past decade, online social networks have provided invaluable data in understanding how social networks change in time while attracting new users and fostering relationships among members. The concept of social trust was developed to explain why and how much users trust each other to become friends or expose their personal data. Existing work on social trust analyze behavioral features and profile attributes to find trust between pairs of users. Although useful, these works suffer from the problem of incomplete, inaccurate and inconsistent social network data. 
 We approach the problem of analyzing trust from an ego network perspective. We observe new friendships, group formations and structural roles of users in ego networks to outline three trust questions. Answers to these questions provide insights into how social trust can be measured from user connections.},
keywords = {Trust; Ego network; Facebook},
pubstate = {published},
tppubtype = {inproceedings}
}

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