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arXiv · 1612.01704

A Unified Method of Detecting Core-Periphery Structure and Community Structure in Networks

Bing-Bing Xiang·Zhong-Kui Bao·Chuang Ma·Xingyi Zhang·Han-Shuang Chen·Hai-Feng Zhang
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Abstract

Core-periphery structure and community structure are two typical meso-scale structures in complex networks. Though the community detection has been extensively investigated from different perspectives, the definition and the detection of core-periphery structure have not received much attention. Furthermore, the detection problems of the core-periphery and community structure were separately investigated. In this paper, we develop a unified framework to simultaneously detect core-periphery structure and community structure in complex networks. Moreover, there are several extra advantages of our algorithm: our method can detect not only single but also multiple pairs of core-periphery structures; the overlapping nodes belonging to different communities can be identified; different scales of core-periphery structures can be detected by adjusting the size of core. The good performance of the method has been validated on synthetic and real complex networks. So we provide a basic framework to detect the two typical meso-scale structures: core-periphery structure and community structure.

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Bing-Bing Xiang, Zhong-Kui Bao, Chuang Ma, Xingyi Zhang, Han-Shuang Chen, Hai-Feng Zhang. 2016-12-06. A Unified Method of Detecting Core-Periphery Structure and Community Structure in Networks. https://doi.org/10.1063/1.4990734

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