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山东大学学报(工学版) ›› 2015, Vol. 45 ›› Issue (1): 1-8.doi: 10.6040/j.issn.1672-3961.1.2014.120

• 机器学习与数据挖掘 •    下一篇

社会网络结构洞节点度量指标比较与分析

韩忠明, 吴杨, 谭旭升, 刘雯, 杨伟杰   

  1. 北京工商大学计算机与信息工程学院, 北京 100048
  • 收稿日期:2014-03-26 修回日期:2014-12-02 出版日期:2015-02-20 发布日期:2014-03-26
  • 作者简介:韩忠明(1972-),男,山西文水人,副教授,博士后,主要研究方向为大数据分析与挖掘,信息检索等.E-mail:hanzm@th.btbu.edu.cn
  • 基金资助:
    国家自然科学基金资助项目(61170112)

Comparison and analysis on measure indexes for structural hole nodes in social network

HAN Zhongming, WU Yang, TAN Xusheng, LIU Wen, YANG Weijie   

  1. College of Computer and Information Engineering, Beijing Technology and Business University, Beijing 100048, China
  • Received:2014-03-26 Revised:2014-12-02 Online:2015-02-20 Published:2014-03-26

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摘要： 为了分析社会网络中影响结构洞节点测量的因素,首先阐述了现有的7种定量衡量结构洞节点的方法,然后构建了4组12个具有不同结构特征的模拟网络。在模拟网络上对结构洞节点的度量指标进行深入而全面的分析和比较。同时,在人人网社会网络上进行实证分析。实验结果表明,这7种度量指标均难以准确度量结构洞节点,不同指标间存在着一定的相关性。在7种度量指标中,介数中心性能相对取得较好的效果。

关键词: 网络约束系数, 结构洞, 节点重要性, 社会网络, 介数中心性

Abstract: In order to analyze different factors that affected structural holes measurement in social networks, seven existing methods to measure structural hole nodes were analyzed. Four groups of 12 simulated networks were built. Measure indexes for structural hole nodes were deeply and overall analyzed and compared in the simulated network, which were testified and analyzed in social network of Renren websites. The experimental results showed that seven existing methods perform poorly on identifying the structural hole nodes and some methods were highly correlated. Among these seven methods, betweenness centrality was relatively more effective.

Key words: social network, structural hole, constraint coefficient of network, node importance, betweenness centrality

中图分类号: 

  • TP393
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