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基于结构稳定性校准的在线式社区识别

杨海陆 张健沛 杨静

杨海陆, 张健沛, 杨静. 基于结构稳定性校准的在线式社区识别. 自动化学报, 2014, 40(10): 2151-2162. doi: 10.3724/SP.J.1004.2014.02151
引用本文: 杨海陆, 张健沛, 杨静. 基于结构稳定性校准的在线式社区识别. 自动化学报, 2014, 40(10): 2151-2162. doi: 10.3724/SP.J.1004.2014.02151
YANG Hai-Lu, ZHANG Jian-Pei, YANG Jing. Identifying Online Communities by Calibrating Structure Stability. ACTA AUTOMATICA SINICA, 2014, 40(10): 2151-2162. doi: 10.3724/SP.J.1004.2014.02151
Citation: YANG Hai-Lu, ZHANG Jian-Pei, YANG Jing. Identifying Online Communities by Calibrating Structure Stability. ACTA AUTOMATICA SINICA, 2014, 40(10): 2151-2162. doi: 10.3724/SP.J.1004.2014.02151

基于结构稳定性校准的在线式社区识别

doi: 10.3724/SP.J.1004.2014.02151
基金项目: 

国家自然科学基金(61073041, 61073043, 61202274, 61370083, 61402126), 高等学校博士学科点专项科研基金(20112304110011, 20122304110012) 资助

详细信息
    作者简介:

    杨海陆 哈尔滨工程大学计算机科学与技术学院博士研究生. 主要研究方向为数据挖掘, 社会计算和社会网络安全.E-mail: yanghailu@hrbeu.edu.cn

Identifying Online Communities by Calibrating Structure Stability

Funds: 

Supported by National Natural Science Foundation of China (61073041, 61073043, 61202274, 61370083, 61402126), Specialized Research Fund for the Doctoral Program of Higher Education (20112304110011, 20122304110012)

  • 摘要: 本文探讨在线社会网络的社区识别问题, 重点研究网络演变特性对社区结构产生的影响. 首先基于节点的邻域倾向性提出社区稳定性的概念并给出稳定社区的快速识别算法, 然后设计了一种基于事件的社区稳定性校准算法以此识别新网络的社区结构. 由于算法的局部搜索策略, 该方法无需在新时间片段重复执行, 并且可以在无参数条件下识别加权网络中具有任意形状的社区结构. 在人工合成网络和真实网络上的实验结果验证了算法的可行性和有效性.
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出版历程
  • 收稿日期:  2013-11-18
  • 修回日期:  2014-02-20
  • 刊出日期:  2014-10-20

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