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 …