计算机工程 ›› 2010, Vol. 36 ›› Issue (06): 32-34.doi: 10.3969/j.issn.1000-3428.2010.06.011

• 软件技术与数据库 • 上一篇    下一篇

基于局域世界的加权演化网社团结构

李 涛1,王伊蕾2,王远志 3   

  1. (1. 鲁东大学网络中心,烟台 264025;2. 鲁东大学信息科学与工程学院,烟台 264025;3. 安庆师范学院计算机系,安庆 246011)
  • 收稿日期:1900-01-01 修回日期:1900-01-01 出版日期:2010-03-20 发布日期:2010-03-20

Community Structure of Weighted Evolving Network Based on Local World

LI Tao1, WANG Yi-lei2, WANG Yuan-zhi3   

  1. (1. Network Center, Ludong University, Yantai 264025; 2. School of Information Science & Engineering, Ludong University, Yantai 264025;3. Department of Computer, Anqing Normal College, Anqing 246011)
  • Received:1900-01-01 Revised:1900-01-01 Online:2010-03-20 Published:2010-03-20

摘要: 研究基于局域世界的科研合作加权网络的演化时间步长、文章的合作人数及社会网络中考虑亲密关系与否对演化网络社团结构的影响。结果表明,演化网络的Q值不随时间的增长而增加,而是存在一个最优演化时间,使Q达到最大值,随着Q值的增长,网络的社团结构更加明显。将实证科研合作网络与仿真网络进行对比,发现两者的社团结构具有极其相似的特征。

关键词: 局域世界, 科研合作网, 加权网, 社团结构

Abstract: This paper researches the scientific collaboration weighted network based on local world, and how evolving time, cooperators in each paper and weather consider consanguinity on the network affect the structure of evolving network. Results show that the value of Q does not increase with evolving time but exists a best time to make Q max. Community structure becomes more evident with the incensement of Q. A demonstration collaboration network is compared with a simulation one, and the result shows that they have almost the same community structure characteristics.


Key words: local world, scientific collaboration network, weighted network, community structure

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