An overlapping community detection algorithm based on density peaks

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• 作者：Xueying Bai^aAuthor Vitae ; Peilin Yang^aAuthor Vitae ; Xiaohu Shi^a ; ^b ; ^{shixiaohu@jlu.edu.cn}Author Vitae
• 关键词：Overlapping community ; Density peak ; Community core ; Membership vector ; Social networks
• 刊名：Neurocomputing
• 出版年：2017
• 出版时间：22 February 2017
• 年：2017
• 卷：226
• 期：Complete
• 页码：7-15
• 全文大小：1074 K
• 卷排序：226

文摘

An overlapping community detection algorithm based on density peaks is developed. Considering node degree, the distance matrix construction algorithm is proposed. A three-step process to select community cores is designed. Using membership vectors, nodes are allocated to overlapping communities. Experiments prove the effectiveness of OCDDP compared with the top existing methods.