Title: Quantitative Function for Community Detection
Abstract: Detecting and characterizing the community structure of complex network is fundamental. We compare the classical optimization indexes of modularity and modularity density, which are quality indexes for a partition of a network into communities. Based on this, we propose a quantitative function for community partition, named communitarity or C value. We demonstrate that the quantitative is superior to modularity Q and modularity density D. Both theoretical and numerical results show that optimizing the new index not only can resolve small modules, but also can correctly identify the number of communities.
Publication Year: 2012
Publication Date: 2012-01-01
Language: en
Type: article
Indexed In: ['crossref']
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Cited By Count: 3
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