TY - GEN
T1 - Probabilistic models for discovering e-communities
AU - Zhou, Ding
AU - Manavoglu, Eren
AU - Li, Jia
AU - Giles, C. Lee
AU - Zha, Hongyuan
PY - 2006
Y1 - 2006
N2 - 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.
AB - 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.
UR - http://www.scopus.com/inward/record.url?scp=34250694541&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=34250694541&partnerID=8YFLogxK
U2 - 10.1145/1135777.1135807
DO - 10.1145/1135777.1135807
M3 - Conference contribution
AN - SCOPUS:34250694541
SN - 1595933239
SN - 9781595933232
T3 - Proceedings of the 15th International Conference on World Wide Web
SP - 173
EP - 182
BT - Proceedings of the 15th International Conference on World Wide Web
T2 - 15th International Conference on World Wide Web
Y2 - 23 May 2006 through 26 May 2006
ER -