CiteSeerX — Dynamic social network analysis using latent ...
CiteSeerX Document Details (Isaac Councill, Lee Giles, Pradeep Teregowda): This paper explores two aspects of social network modeling. First, we generalize a successful static model of relationships into a dynamic model that accounts for friendships drifting over time. Second, we show how to make it tractable to learn such models from data, even as the number of entities n gets large.
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