Personalized PageRank based Community Detection

author: David F. Gleich, Department of Computer Science, Purdue University
published: Sept. 27, 2013,   recorded: August 2013,   views: 191
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Description

Personalized PageRank is a reasonably well known technique to find a community in a network starting from a single node. It works by approximating the stationary distribution of a resetting random-walk and using that stationary distribution to estimate the presence of nearby cuts in the graph. I'll discuss recent work on how to find use a personalized PageRank community to quickly estimate the sets of best conductance anywhere in the graph as well as how to find a good set of seeds to cover the entire graph with personalized PageRank communities.

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Download slides icon Download slides: kdd2013_gleich_community_detection_01.pdf (11.0┬áMB)


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