Detecting communities by the core-vertex and intimate degree in complex networks

Xingyuan Wang and Junqiu Li

Physica A: Statistical Mechanics and its Applications, 2013, vol. 392, issue 10, 2555-2563

Abstract: In this paper, we present a new approach to extract communities in the complex networks with considerable accuracy. We introduce the core-vertex and the intimate degree between the community and its neighboring vertices. First, we find the core-vertices as the initial community. These core-vertices are then expanded using intimate degree function during extracting community structure from the given network. In addition, our algorithm successfully finds common nodes between communities. Experimental results using some real-world networks data shows that the performance of our algorithm is satisfactory.

Keywords: Complex networks; Community structure; Core-vertex; Intimate degree (search for similar items in EconPapers)
Date: 2013
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Citations: View citations in EconPapers (13)

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Persistent link: https://EconPapers.repec.org/RePEc:eee:phsmap:v:392:y:2013:i:10:p:2555-2563

DOI: 10.1016/j.physa.2013.01.039

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