Probabilistic author-topic models for information discovery
Proceedings of the tenth ACM SIGKDD international conference on Knowledge discovery and data mining
Social Computing: From Social Informatics to Social Intelligence
IEEE Intelligent Systems
Combining content and link for classification using matrix factorization
SIGIR '07 Proceedings of the 30th annual international ACM SIGIR conference on Research and development in information retrieval
Guest Editors' Introduction: Social Computing
IEEE Intelligent Systems
Topic modeling with network regularization
Proceedings of the 17th international conference on World Wide Web
Learning multiple graphs for document recommendations
Proceedings of the 17th international conference on World Wide Web
How Useful Are Tags? -- An Empirical Analysis of Collaborative Tagging for Web Page Recommendation
PAISI, PACCF and SOCO '08 Proceedings of the IEEE ISI 2008 PAISI, PACCF, and SOCO international workshops on Intelligence and Security Informatics
Discovering Temporal Communities from Social Network Documents
ICDM '07 Proceedings of the 2007 Seventh IEEE International Conference on Data Mining
SoRec: social recommendation using probabilistic matrix factorization
Proceedings of the 17th ACM conference on Information and knowledge management
Analyzing communities and their evolutions in dynamic social networks
ACM Transactions on Knowledge Discovery from Data (TKDD)
Editorial: Special issue on online communities and social network: An editorial introduction
Decision Support Systems
Virtual communities: A marketing perspective
Decision Support Systems
Exploring contributions of public resources in social bookmarking systems
Decision Support Systems
The ties that bind: Social network principles in online communities
Decision Support Systems
MetaFac: community discovery via relational hypergraph factorization
Proceedings of the 15th ACM SIGKDD international conference on Knowledge discovery and data mining
From whence does your authority come?: utilizing community relevance in ranking
AAAI'07 Proceedings of the 22nd national conference on Artificial intelligence - Volume 2
Topic and role discovery in social networks with experiments on enron and academic email
Journal of Artificial Intelligence Research
Learning author-topic models from text corpora
ACM Transactions on Information Systems (TOIS)
Topic-based web page recommendation using tags
ISI'09 Proceedings of the 2009 IEEE international conference on Intelligence and security informatics
Homophily in the Digital World: A LiveJournal Case Study
IEEE Internet Computing
Collaborative filtering in social tagging systems based on joint item-tag recommendations
CIKM '10 Proceedings of the 19th ACM international conference on Information and knowledge management
Divergence measures based on the Shannon entropy
IEEE Transactions on Information Theory
Web document clustering using hyperlink structures
Computational Statistics & Data Analysis
Social networking on smartphones: When mobile phones become addictive
Computers in Human Behavior
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Online social network services (SNS) have been experiencing rapid growth in recent years. SNS enable users to identify other users with common interests, exchange their opinions, and establish forums for communication, and so on. Discovering densely connected user communities from social networks has become one of the major challenges, to help understand the structural properties of SNS and improve user-oriented services such as identification of influential users and automated recommendations. Previous work on community discovery has treated user friendship networks and user-generated contents separately. We hypothesize that these two types of information can be fruitfully integrated and propose a unified framework for user community discovery in online social networks. This framework combines the author-topic (AT) model with user friendship network analysis. We empirically show that this approach is capable of discovering interesting user communities using two real-world datasets.