Local modularity measure for network clusterizations
Abstract
Many complex networks have an underlying modular structure, i.e., structural subunits (communities or clusters) characterized by highly interconnected nodes. The modularity Q has been introduced as a measure to assess the quality of clusterizations. Q has a global view, while in many real-world networks clusters are linked mainly locally among each other (local cluster-connectivity). Here, we introduce a new measure, localized modularity LQ, which reflects local cluster structure. Optimization of Q and LQ on the clusterization of two biological networks shows that the localized modularity identifies more cohesive clusters, yielding a complementary view of higher granularity.
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