Algorithm Research & Explore
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App. Res. of Comp. Printed Article
Vol. 37, 2020 No. 6
1670-1674,1687

Clustering algorithm of social network based on graph clustering and ant colony optimization algorithm

Ye Xiaoying1
Wan Mei2
Tang Rong3
Xie Yun1
Chen Guihong4
Li Qiang1
1. Dept. of Computer Science & Technology, Neusoft Institute of Guangdong, Foshan Guangdong 528225, China
2. Dept. of Computer Science & Engineering, Guangzhou College of Technology & Business, Guangzhou 510850, China
3. Jiulongpo District Mental Health Center, Chongqing 400052, China
4. School of Electronics & Information Technology, Sun Yat-sen University, Guangzhou 510006, China
DOI: 10.19734/j.issn.1001-3695.2018.12.0881

Abstract

Aiming at the properties of direction and diversity of social relationships in the social network, this paper proposed a clustering algorithm of social network based on graph clustering and ant colony optimization algorithm. Firstly, it constructed a directed and non-fully connected complete graph for the social networks under constraint condition of network coverage; Then, it adopted K-medoids algorithm to search the center users of all user groups, adopted ant colony optimization to search the similarities of each user and center users in the graph, and grouped the users satisfied the threshold condition into the same group. This paper also designed a prediction mechanism of low active degree users to resolve the sparsity problem and cold-start problem. Besides, it set the network coverage constraint condition to balance the indexes of accuracy and coverage. Simulation experimental results indicate that the proposed algorithm realizes a good clustering performance of social network, and it reduces the problems of sparsity and cold-start effectively.

Foundation Support

广东省科技计划协同创新与平台环境建设基金资助项目(2017A040406001)
广东省教育厅与思科(中国)创新科技有限公司产学合作协同育人项目(粤教高函［2017］153号)

Publish Information

DOI: 10.19734/j.issn.1001-3695.2018.12.0881
Publish at: Application Research of Computers Printed Article, Vol. 37, 2020 No. 6
Section: Algorithm Research & Explore
Pages: 1670-1674,1687
Serial Number: 1001-3695(2020)06-013-1670-05

Publish History

[2020-06-05] Printed Article

Cite This Article

叶小莺, 万梅, 唐蓉, 等. 基于图聚类与蚁群算法的社交网络聚类算法 [J]. 计算机应用研究, 2020, 37 (6): 1670-1674,1687. (Ye Xiaoying, Wan Mei, Tang Rong, et al. Clustering algorithm of social network based on graph clustering and ant colony optimization algorithm [J]. Application Research of Computers, 2020, 37 (6): 1670-1674,1687. )

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  • Application Research of Computers Monthly Journal
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    CN  51-1196/TP

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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