A dual assortative measure of community structure

Todd D. Kaplan; Stephanie Forrest

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arXiv · 0801.3290

A dual assortative measure of community structure

Todd D. Kaplan·Stephanie Forrest

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Abstract

Current community detection algorithms operate by optimizing a statistic called modularity, which analyzes the distribution of positively weighted edges in a network. Modularity does not account for negatively weighted edges. This paper introduces a dual assortative modularity measure (DAMM) that incorporates both positively and negatively weighted edges. We describe the the DAMM statistic and illustrate its utility in a community detection algorithm. We evaluate the efficacy of the algorithm on both computer generated and real-world networks, showing that DAMM broadens the domain of networks that can be analyzed by community detection algorithms.

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Todd D. Kaplan, Stephanie Forrest. 2008-01-21. A dual assortative measure of community structure. https://arxiv.org/abs/0801.3290

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