Add to Cal
  • Host Department: Statistics
  • Date: 09/04/2013
  • Time: 2:00PM

  • Location: 438 WH

  • Description:

    Community detection is a fundamental problem in network data
    analysis. Most of the existing community detection methods focus only
    on the network structure without considering features of the nodes.
    However, many real-world networks contain feature information on
    nodes, which are often related to the community structure. To address
    this problem, we propose a joint community detection criterion that
    combines the network structure and the feature information on nodes.
    The new criterion is shown to perform well in simulation studies and
    on several data examples.

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