Game algorithm based on node attributes for community detection

Zhang Xiankun
Ren Jing
Liu Yuanbo
Su Jing
College of Artificial Intelligence, Tianjin University of Science & Technology, Tianjin 300457, China

Abstract

This paper proposed a game algorithm based on node attributes for community detection(G_NA). This paper regarded the process of community detection as the game of nodes in the network. When all nodes could not improve their own utilities, the game ended. First, G_NA proposed a utility function based on the node degree attribute. Then, during the iteration, the nodes updated the strategies in a sequence of node influence from large to small to increase their utilities. Finally, the proposed algorithm was compared with the existing algorithm in different real networks and artificial networks. The results show that the proposed algorithm is superior to other algorithms.

Foundation Support

国家自然基金资助项目(61702367)
天津市教委科研计划项目(2017KJ033)

Publish Information

DOI: 10.19734/j.issn.1001-3695.2018.05.0444
Publish at: Application Research of Computers Printed Article, Vol. 37, 2020 No. 1
Section: Algorithm Research & Explore
Pages: 80-84
Serial Number: 1001-3695(2020)01-017-0080-05

Publish History

[2020-01-05] Printed Article

Cite This Article

张贤坤, 任静, 刘渊博, 等. 基于节点属性的社区发现博弈算法 [J]. 计算机应用研究, 2020, 37 (1): 80-84. (Zhang Xiankun, Ren Jing, Liu Yuanbo, et al. Game algorithm based on node attributes for community detection [J]. Application Research of Computers, 2020, 37 (1): 80-84. )

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Application Research of Computers, founded in 1984, is an academic journal of computing technology sponsored by Sichuan Institute of Computer Sciences under the Science and Technology Department of Sichuan Province.

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