吉林大学学报(工学版) ›› 2016, Vol. 46 ›› Issue (5): 1633-1638.doi: 10.13229/j.cnki.jdxbgxb201605037

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Fractal clustering method for uncovering community of complex network

GUO Yu-quan, LI Xiong-fei   

  1. College of Computer Science and Technology, Jilin University, Changchun 130012,China
  • Received:2015-05-19 Online:2016-09-20 Published:2016-09-20

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Abstract: Box-counting algorithm is an important approach to inspect the fractal property of complex networks. However, it neglects the weight of edges. To address this problem, a novel two-step box-counting algorithm is proposed, which is a clustering method. The proposed algorithm is applied to Fractal Cluster for Uncovering Community (FCUC). In FCUC, the nodes are clustered by two-step covering-box algorithm, and the fractal tree progress is mapped to a tree structure. Community structure can be uncovered through cutting the fractal tree according to evaluation function. Extensive tests on artificial networks and real networks give excellent results.

Key words: computer application, community of complex networks, fractal cluster, box-covering algorithm, fractal tree

CLC Number: 

  • TP391
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