Detecting community structure in networks using edge prediction methods

Bowen Yan, Steve Gregory

Research output: Contribution to journalArticle (Academic Journal)peer-review

21 Citations (Scopus)

Abstract

Community detection and edge prediction are both forms of link mining: they are concerned with discovering the relations between vertices in networks. Some of the vertex similarity measures used in edge prediction are closely related to the concept of community structure. We use this insight to propose a novel method for improving existing community detection algorithms by using a simple vertex similarity measure. We show that this new strategy can be more effective in detecting communities than the basic community detection algorithms.
Original languageEnglish
Article numberP09008
Number of pages10
JournalJournal of Statistical Mechanics: Theory and Experiment
Volume2012
Early online date14 Sep 2012
Publication statusPublished - Sep 2012

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