Accuracy and precision of methods for community identification in weighted networks

Ying Fan, Menghui Li, Peng Zhang, Jinshan Wu and Zengru Di

Physica A: Statistical Mechanics and its Applications, 2007, vol. 377, issue 1, 363-372

Abstract: Different algorithms, which take both links and link weights into account for the community structure of weighted networks, have been reported recently. Based on the measure of similarity among community structures introduced in our previous work, in this paper, accuracy and precision of three algorithms are investigated. Results show that Potts model based algorithm and weighted extremal optimization (WEO) algorithm work well on both dense or sparse weighted networks, while weighted Girvan–Newman (WGN) algorithm works well only for relatively sparse networks.

Keywords: Weighted networks; Community structure; Similarity function (search for similar items in EconPapers)
Date: 2007
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Citations: View citations in EconPapers (2)

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Persistent link: https://EconPapers.repec.org/RePEc:eee:phsmap:v:377:y:2007:i:1:p:363-372

DOI: 10.1016/j.physa.2006.11.036

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