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http://dx.doi.org/10.7472/jksii.2012.13.3.75

An Enhanced Community Detection Algorithm Using Modularity in Large Networks  

Han, Chi-Geun (경희대학교 컴퓨터공학과)
Jo, Moo-Hyoung (경희대학교 일반대학원 컴퓨터공학과)
Publication Information
Journal of Internet Computing and Services / v.13, no.3, 2012 , pp. 75-82 More about this Journal
Abstract
In this paper, an improved community detection algorithm based on the modularity is proposed. The existing algorithm does not consider the information that the nodes have in checking the possible modularity increase, hence the computation may be inefficient. The proposed algorithm computes the node degree (weight) and sorts them in non-increasing order. By checking the possible modularity value increase for the nodes in the nonincreasing order of node weights, the algorithm finds the final solution more quickly than the existing algorithm does. Through the computational experiments, it is shown that the proposed algorithm finds a modularity as good as the existing algorithm obtains.
Keywords
modularity;
Citations & Related Records
Times Cited By KSCI : 1  (Citation Analysis)
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