一种基于用户交互行为的微博社区发现方法

  • 徐建民 ,
  • 李腾飞 ,
  • 吴树芳
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徐建民(1966-),男,河北邯郸人,河北大学教授,博士,主要从事信息检索、不确定信息处理方向研究. E-mail:84887613@qq.com

收稿日期: 2015-12-07

  网络出版日期: 2016-03-25

基金资助

河北省自然科学基金资助项目(F2015201142);河北省教育厅青年基金资助项目(QN2015099);河北省社会科学基金资助项目(HB15TQ013);河北省社会科学基金课题(HB15SH064)

A micro-blogging community discovery method based on user’s interactions

  • XU Jianmin ,
  • LI Tengfei ,
  • WU Shufang
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  • 1.College of Computer Science and Technology, Hebei University, Baoding 071002, China; 2.College of Management, Hebei University, Baoding 071002, China

Received date: 2015-12-07

  Online published: 2016-03-25

摘要

通过研究微博社区的结构特征和用户交流模式,提出了一种基于微博用户交互行为的社区发现方法.该方法借鉴引文分析理论中的著者互引分析和著者耦合分析,分析微博社区内用户的交互行为,考虑到不同交互行为体现了对微博的不同兴趣度,给不同的交互行为赋予了不同权重,进行相似度计算,并利用用户相似度进行社区发现.实验结果显示,本文提出的方法可以有效地进行社区发现.

本文引用格式

徐建民 , 李腾飞 , 吴树芳 . 一种基于用户交互行为的微博社区发现方法[J]. 河北大学学报(自然科学版), 2016 , 36(2) : 189 -196 . DOI: 10.3969/j.issn.1000-1565.2016.02.014

Abstract

By investigating the structure of micro-blogging and user’s communication mode,a micro-blogging community discovery method based on user’s interactions was presented.User’s interactions in micro-blogging are analyzed by referring to author cross citation and author coupling citation in citation analysis.Considering different interactions reflect different interests in micro-blogging articles,this paper sets different weights for different interactions and proposes a new calculation method of user’s similarity based on interactions that is used to divide micro-blogging community.Experimental results show that the proposed method can effectively perform community discovery.

参考文献

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