华南理工大学学报(自然科学版) ›› 2008, Vol. 36 ›› Issue (5): 19-23.

• 计算机科学与技术 • 上一篇    下一篇

交联网络中的可重叠社团结构分析算法

赵鹏蔡庆生王清毅2   

  1. 1. 安徽大学 计算智能与信号处理教育部重点实验室, 安徽 合肥 230039;2. 中国科学技术大学 计算机科学技术系, 安徽 合肥 230027
  • 收稿日期:2007-01-22 修回日期:2007-12-20 出版日期:2008-05-25 发布日期:2008-05-25
  • 通信作者: 赵鹏(1976-),女,博士,副教授,主要从事人工智能、复杂网络方面的研究. E-mail:zhp2004@mail.ustc.edu.cn
  • 作者简介:赵鹏(1976-),女,博士,副教授,主要从事人工智能、复杂网络方面的研究.
  • 基金资助:

    国家自然科学基金资助项目(70171052);安徽省高校青年教师基金资助项目(2006jq1040)

Algorithm to Analyze Overlapping Community Structure of Intersection Networks

Zhao Peng Cai Qing-sheng2  Wang Qing-yi 2   

  1. 1.Key Laboratory of Intelligent Computing and Signal Processing of the Ministry of Education,Anhui University,Hefei 230039,Anhui,China; 2.Department of Computer Science and Technology,University of Science and Technology of China,Hefei 230027,Anhui,China
  • Received:2007-01-22 Revised:2007-12-20 Online:2008-05-25 Published:2008-05-25
  • Contact: 赵鹏(1976-),女,博士,副教授,主要从事人工智能、复杂网络方面的研究. E-mail:zhp2004@mail.ustc.edu.cn
  • About author:赵鹏(1976-),女,博士,副教授,主要从事人工智能、复杂网络方面的研究.
  • Supported by:

    国家自然科学基金资助项目(70171052);安徽省高校青年教师基金资助项目(2006jq1040)

摘要: 现有的社团结构分析算法都是针对非交联结构的复杂网络,并且大多数是将网络划分为若干相互分离的社团,无法对彼此重叠、互相关联的社团结构进行分析.文中根据交联网络的结构特点,提出了一种交联网络中的可重叠社团结构分析算法(IBCPM算法),并利用该算法对用户收藏文章的交联网络进行了社团结构分析,对所获得的社团结构进行了统计分析.实验结果证明了文中算法的有效性及效率.

关键词: 复杂网络, 交联网络, 社团结构, 算法

Abstract:

The existing algorithms to analyze the community structure are all based on the complex networks with non-intersection structure,and most of them can only analyze the separated community structures rather than to ana-lyze the overlapping and intersecting ones.In order solve this problem,a novel algorithm to analyze the overlapping community structure of intersection network is proposed.The proposed algorithm,IBCPM,is then adopted to analyze the community structure of the user's collection intersection network,and the results are further statistically analyzed.The effectiveness and efficiency of the proposed algorithm are finally verified by experiments.

Key words: complex network, intersection network, community structure, algorithm