Difference between revisions of "Dan Cosley, AAAI, 2010"
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== Summary == | == Summary == | ||
In this [[Category::paper]], the authors propose a novel co-clustering framework, which takes advantage of networking information between users and tags in social media, to discover these [[AddressesProblem::overlapping communities]]. The basic ideas are: | In this [[Category::paper]], the authors propose a novel co-clustering framework, which takes advantage of networking information between users and tags in social media, to discover these [[AddressesProblem::overlapping communities]]. The basic ideas are: |
Revision as of 22:53, 3 April 2011
Contents
Citation
Dan Cosley, Daniel Huttenlocher, Jon Kleinberg, Xiangyang Lan, Siddarth Suri. Sequential Influence Models in Social Network. Association for the Advancement of Artificial Intelligence. 2010.
Online Version
http://www.cs.cornell.edu/home/kleinber/icwsm10-seq.pdf
Databases
Summary
In this paper, the authors propose a novel co-clustering framework, which takes advantage of networking information between users and tags in social media, to discover these overlapping communities. The basic ideas are: