Group Profiling for Understanding Social Structures
ACM Transactions on Intelligent Systems and Technology (TIST)
Leveraging the linkedin social network data for extracting content-based user profiles
Proceedings of the fifth ACM conference on Recommender systems
User community discovery from multi-relational networks
Decision Support Systems
On participation in group chats on Twitter
Proceedings of the 22nd international conference on World Wide Web
The learning system of collective behavior in students' social network
Computers and Electrical Engineering
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Are two users more likely to be friends if they share common interests? Are two users more likely to share common interests if they're friends? The authors study the phenomenon of homophily in the digital world by answering these central questions. Unlike the physical world, the digital world doesn't impose any geographic or organizational constraints on friendships. So, although online friends might share common interests, a priori there's no reason to believe that two users with common interests are more likely to be friends. Using data from LiveJournal, the authors show that the answer to both questions is yes.