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Community-based topic modeling for social tagging
2010
Proceedings of the 19th ACM international conference on Information and knowledge management - CIKM '10
Exploring community is fundamental for uncovering the connections between structure and function of complex networks and for practical applications in many disciplines such as biology and sociology. In this paper, we propose a TTR-LDA-Community model which combines the Latent Dirichlet Allocation model (LDA) and the Girvan-Newman community detection algorithm with an inference mechanism. The model is then applied to data from Delicious, a popular social tagging system, over the time period of
doi:10.1145/1871437.1871673
dblp:conf/cikm/LiHDTSQYLD10
fatcat:ya6zxmbudzashc2677y43v7puy