Extension of Modularity Density for overlapping community structure

Mingming Chen, Konstantin Kuzmin, B. Szymanski
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引用次数: 28

Abstract

Modularity is widely used to effectively measure the strength of the disjoint community structure found by community detection algorithms. Although several overlapping extensions of modularity were proposed to measure the quality of overlapping community structure, there is lack of systematic comparison of different extensions. To fill this gap, we overview overlapping extensions of modularity to select the best. In addition, we extend the Modularity Density metric to enable its usage for overlapping communities. The experimental results on four real networks using overlapping extensions of modularity, overlapping modularity density, and six other community quality metrics show that the best results are obtained when the product of the belonging coefficients of two nodes is used as the belonging function. Moreover, our experiments indicate that overlapping modularity density is a better measure of the quality of overlapping community structure than other metrics considered.
重叠群落结构的模块化密度扩展
模块化被广泛用于有效度量社团检测算法发现的不相交社团结构的强度。虽然提出了几种模块化的重叠扩展来衡量重叠群落结构的质量,但缺乏对不同扩展的系统比较。为了填补这一空白,我们概述了模块化的重叠扩展,以选择最佳扩展。此外,我们扩展了模块化密度度量,使其能够用于重叠的社区。在4个真实网络上使用模块化的重叠扩展、重叠模块化密度和其他6个社区质量指标进行实验,结果表明,以两个节点的归属系数乘积作为归属函数时,得到的结果最好。此外,我们的实验表明,重叠模块化密度是一个更好的衡量重叠社区结构质量的指标。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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