Author Login Editor-in-Chief Peer Review Editor Work Office Work

Computer Engineering ›› 2008, Vol. 34 ›› Issue (1): 83-85. doi: 10.3969/j.issn.1000-3428.2008.01.028

• Software Technology and Database • Previous Articles     Next Articles

Social Network Mining Using Content Comparability and Sequencing

YIN Hong-zhang1, CAO Xian-bin1,2   

  1. (1. Department of Computer Science and Technology, University of Science and Technology of China, Hefei 230027; 2. Anhui Key Lab of Software in Computing and Communication, Hefei 230027)
  • Received:1900-01-01 Revised:1900-01-01 Online:2008-01-05 Published:2008-01-05

结合内容相似性和时序性的社会网络挖掘

尹洪章1,曹先彬1,2   

  1. (1. 中国科学技术大学计算机系,合肥 230027;2. 安徽省计算与通讯软件重点实验室,合肥 230027)

Abstract: This paper proposes a new method of mining social network by combining content comparability and sequencing contained in the chat data. The method infers primary social network using some heuristic rules, then reinforces the network by users clustering. Experimental data show that the method has a good performance.

Key words: social network, heuristic rule, content comparability

摘要: 在分析聊天数据时序性的基础上,引入内容相似性信息,提出一种结合内容相似性和时序性的社会网络挖掘新方法。该方法使用启发式规则初步推断出聊天室的社会网络,利用相似用户聚类技术进一步补充并最终挖掘出准确的社会网络。实验结果显示,该方法具有较好的挖掘效果。

关键词: 社会网络, 启发式规则, 内容相似性

CLC Number: