arXiv · cond-mat/0503252
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 \emph{locally} among each other (\emph{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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Stefanie Muff, Francesco Rao, Amedeo Caflisch. 2005-10-13. Local modularity measure for network clusterizations. https://doi.org/10.1103/physreve.72.056107
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