Efficient identification of Web communities
Proceedings of the sixth ACM SIGKDD international conference on Knowledge discovery and data mining
Mining the network value of customers
Proceedings of the seventh ACM SIGKDD international conference on Knowledge discovery and data mining
Mining knowledge-sharing sites for viral marketing
Proceedings of the eighth ACM SIGKDD international conference on Knowledge discovery and data mining
The Journal of Machine Learning Research
Algorithms for estimating relative importance in networks
Proceedings of the ninth ACM SIGKDD international conference on Knowledge discovery and data mining
Email as spectroscopy: automated discovery of community structure within organizations
Communities and technologies
Mining models of human activities from the web
Proceedings of the 13th international conference on World Wide Web
Probabilistic author-topic models for information discovery
Proceedings of the tenth ACM SIGKDD international conference on Knowledge discovery and data mining
Mining scale-free networks using geodesic clustering
Proceedings of the tenth ACM SIGKDD international conference on Knowledge discovery and data mining
Monte Carlo Statistical Methods (Springer Texts in Statistics)
Monte Carlo Statistical Methods (Springer Texts in Statistics)
Algorithmic detection of semantic similarity
WWW '05 Proceedings of the 14th international conference on World Wide Web
Mining directed social network from message board
WWW '05 Special interest tracks and posters of the 14th international conference on World Wide Web
A new Mallows distance based metric for comparing clusterings
ICML '05 Proceedings of the 22nd international conference on Machine learning
Towards Discovering Organizational Structure from Email Corpus
ICMLA '05 Proceedings of the Fourth International Conference on Machine Learning and Applications
Topic evolution and social interactions: how authors effect research
CIKM '06 Proceedings of the 15th ACM international conference on Information and knowledge management
Detecting research topics via the correlation between graphs and texts
Proceedings of the 13th ACM SIGKDD international conference on Knowledge discovery and data mining
Foundations and Trends in Web Science
Intelligent interactions in email using social networks and ai
CHI '08 Extended Abstracts on Human Factors in Computing 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
Exploring social annotations for information retrieval
Proceedings of the 17th international conference on World Wide Web
Community evolution in dynamic multi-mode networks
Proceedings of the 14th ACM SIGKDD international conference on Knowledge discovery and data mining
Social ranking: uncovering relevant content using tag-based recommender systems
Proceedings of the 2008 ACM conference on Recommender systems
Topic models and a revisit of text-related applications
Proceedings of the 2nd PhD workshop on Information and knowledge management
Relationship identification for social network discovery
AAAI'07 Proceedings of the 22nd national conference on Artificial intelligence - Volume 1
Probabilistic community discovery using hierarchical latent Gaussian mixture model
AAAI'07 Proceedings of the 22nd national conference on Artificial intelligence - Volume 1
A Latent Dirichlet Framework for Relevance Modeling
AIRS '09 Proceedings of the 5th Asia Information Retrieval Symposium on Information Retrieval Technology
ICML'06 Proceedings of the 2006 conference on Statistical network analysis
Discovering Knowledge-Sharing Communities in Question-Answering Forums
ACM Transactions on Knowledge Discovery from Data (TKDD)
Extraction, characterization and utility of prototypical communication groups in the blogosphere
ACM Transactions on Information Systems (TOIS)
Groups without tears: mining social topologies from email
Proceedings of the 16th international conference on Intelligent user interfaces
Towards discovering criminal communities from textual data
Proceedings of the 2011 ACM Symposium on Applied Computing
Mining topics on participations for community discovery
Proceedings of the 34th international ACM SIGIR conference on Research and development in Information Retrieval
Probabilistic model for discovering topic based communities in social networks
Proceedings of the 20th ACM international conference on Information and knowledge management
Quality and Leniency in Online Collaborative Rating Systems
ACM Transactions on the Web (TWEB)
Literature search through mixed-membership community discovery
SBP'10 Proceedings of the Third international conference on Social Computing, Behavioral Modeling, and Prediction
Using content and interactions for discovering communities in social networks
Proceedings of the 21st international conference on World Wide Web
A framework for exploring organizational structure in dynamic social networks
Decision Support Systems
Latent Community Topic Analysis: Integration of Community Discovery with Topic Modeling
ACM Transactions on Intelligent Systems and Technology (TIST)
Community discovery and profiling with social messages
Proceedings of the 18th ACM SIGKDD international conference on Knowledge discovery and data mining
Social-network analysis using topic models
SIGIR '12 Proceedings of the 35th international ACM SIGIR conference on Research and development in information retrieval
User-sentiment topic model: refining user's topics with sentiment information
Proceedings of the ACM SIGKDD Workshop on Mining Data Semantics
Electronic Commerce Research and Applications
User activity profiling with multi-layer analysis
Proceedings of the 21st ACM international conference on Information and knowledge management
Detecting Probabilistic Community with Topic Modeling on Sampling SubGraphs
ASONAM '12 Proceedings of the 2012 International Conference on Advances in Social Networks Analysis and Mining (ASONAM 2012)
ASONAM '12 Proceedings of the 2012 International Conference on Advances in Social Networks Analysis and Mining (ASONAM 2012)
Discovery and analysis of evolving topical social discussions on unstructured microblogs
ECIR'13 Proceedings of the 35th European conference on Advances in Information Retrieval
Incorporating popularity in topic models for social network analysis
Proceedings of the 36th international ACM SIGIR conference on Research and development in information retrieval
Efficient community detection in large networks using content and links
Proceedings of the 22nd international conference on World Wide Web
Community detection in content-sharing social networks
Proceedings of the 2013 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining
A spatial LDA model for discovering regional communities
Proceedings of the 2013 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining
FRec: a novel framework of recommending users and communities in social media
Proceedings of the 22nd ACM international conference on Conference on information & knowledge management
Proceedings of the 7th ACM international conference on Web search and data mining
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The increasing amount of communication between individuals in e-formats (e.g. email, Instant messaging and the Web) has motivated computational research in social network analysis (SNA). Previous work in SNA has emphasized the social network (SN) topology measured by communication frequencies while ignoring the semantic information in SNs. In this paper, we propose two generative Bayesian models for semantic community discovery in SNs, combining probabilistic modeling with community detection in SNs. To simulate the generative models, an EnF-Gibbs sampling algorithm is proposed to address the efficiency and performance problems of traditional methods. Experimental studies on Enron email corpus show that our approach successfully detects the communities of individuals and in addition provides semantic topic descriptions of these communities.