Sun, 27 Jul 2008 07:16:25 BST CiteULike: mshafiei's network-analysis http://www.citeulike.org/user/mshafiei/tag/network-analysis CiteULike.org en-gb Copyright © 2004-2008 citeulike.org http://www.citeulike.org/user/mshafiei/article/2799734 <i>Statistical Network Analysis: Models, Issues, and New Directions (2007), pp. 28-44.</i><br /><br />We present a probabilistic generative model of entity relationships and textual attributes; the model simultaneously discovers groups among the entities and topics among the corresponding text. Block models of relationship data have been studied in social network analysis for some time, however here we cluster in multiple modalities at once. Significantly, joint inference allows the discovery of groups to be guided by the emerging topics, and vice-versa. We present experimental results on two large data sets: sixteen years of bills put before the U.S. Senate, comprising their corresponding text and voting records, and 43 years of similar data from the United Nations. We show that in comparison with traditional, separate latent-variable models for words or block structures for votes, our Group-Topic model’s joint inference improves both the groups and topics discovered. Additionally, we present a non-Markov continouous-time group model to capture shifting group structure over time. Joint Group and Topic Discovery from Relations and Text Andrew Mccallum Xuerui Wang Natasha Mohanty doi:10.1007/978-3-540-73133-7_3 Statistical Network Analysis: Models, Issues, and New Directions (2007), pp. 28-44. 2008-05-14T18:32:45-00:00 2007 Statistical Network Analysis: Models, Issues, and New Directions 28 44 bayesian network-analysis text topic-modeling http://www.citeulike.org/user/mshafiei/article/2304494 <i>(2007), pp. 470-479.</i> A probabilistic framework for relational clustering Bo Long Zhongfei Zhang Philip Yu doi:10.1145/1281192.1281244 (2007), pp. 470-479. 2008-01-29T16:35:34-00:00 2007 470 479 ACM clustering network-analysis