期刊文献+

基于有向赋权图的垃圾邮件社团发现算法

Mail Community Detecting algorithm based on Weighted and Directed Graph
下载PDF
导出
摘要 本文在有向赋权邮件网络的基础上,针对垃圾邮件的特征,分析邮件发送者和接收者的关系,通过社团密度这一度量函数,对有向赋权邮件网络进行社团结构分析,以准确确定社团结构与形式,该算法另一优势是可发现重叠社团。 In this paper, we analysis the feature of spam and the relationship between email sender and receiver, propose a dimension function of community density which based on weighted and directed email community. Then analysis the structure of weighted and directed email network, determine the community structure and form. To find the overlapping communities is another advantage of this algorithm.
出处 《微计算机信息》 2011年第7期164-165,174,共3页 Control & Automation
关键词 数据挖掘 社团发现 有向赋权图 垃圾邮件 weighted and directed email network spam community detecting data mining
  • 相关文献

参考文献7

  • 1Tingrong Xu? ,A Community Detection Algorithm of?. Email Based on Separation ,The 2nd International Conference on Infor- mation Science and Engineering Dec,4-5,2010 in Hangzhou,China ,IEEE Catalog Number: CFPlO76H-DVD ,ISBN: 978-1-4244- 7617-6.
  • 2S.Whittaker, Q,Jones, L.Terveen. Contact management: Identify- ing contacts to support long term communication[C]. Proceedings of Conference on Computer Supported Cooperative Work. New York: ACM Press,2002:216-225.
  • 3杨博,刘大有,LIU Jiming,金弟,马海宾.复杂网络聚类方法[J].软件学报,2009,20(1):54-66. 被引量:212
  • 4Tyler J R, Wikinson D M, Huberman B A. Email as spec- troscopy: Automated discovery Of community structure within orga- nizations [C]. In Huysman M, Wenger E, Wulf V,(eds.), Proceed- ings of the First International Conference on Community and Technologies, Kluwer, Dordrecht(2003).
  • 5F.Raddicchi,C. Castellano,F. Cecconi,V.Loreto, and D.Parisi. Defining and Identifying Communities in Networks, Proceedings of the National Academy of Science USA,2004,101(9):2658-2663.
  • 6陈志国等;系统科学[M].上海:上海科技教育出版社;2000.
  • 7张中军,范明,郭华平.基于小世界网络的邮件社区划分算法[J].微计算机信息,2009,25(30):109-111. 被引量:2

二级参考文献61

  • 1司徒俊峰.Internet的小世界网络研究[J].情报杂志,2004,23(12):86-88. 被引量:24
  • 2陈光宇,胡丽英,苏勇.聚类分析在电信行业客户关系管理中的应用[J].微计算机信息,2006(11X):210-211. 被引量:5
  • 3Watts D J, Strogatz SH. Collective dynamics of Small-World networks. Nature, 1998,393(6638):440-442.
  • 4Barabasi AL, Albert R. Emergence of scaling in random networks. Science, 1999,286(5439):509-512.
  • 5Barabasi AL, Albert R, Jeong H, Bianconi G. Power-Law distribution of the World Wide Web. Science, 2000,287(5461):2115a.
  • 6Albert R, Barabasi AL, Jeong H. The Internet's Achilles heel: Error and attack tolerance of complex networks. Nature, 2000, 406(2115):378-382.
  • 7Girvan M, Newman MEJ. Community structure in social and biological networks. Proc. of the National Academy of Science, 2002,9(12):7821-7826.
  • 8Guimera R, Amaral LAN. Functional cartography of complex metabolic networks. Nature, 2005,433(7028):895-900.
  • 9Palla G, Derenyi I, Farkas I, Vicsek T. Uncovering the overlapping community structures of complex networks in nature and society. Nature, 2005,435(7043):814-818.
  • 10Wilkinson DM, Huberman BA. A method for finding communities of related genes. Proc. of the National Academy of Science, 2004,101(Suppl.1):5241-5248.

共引文献211

相关作者

内容加载中请稍等...

相关机构

内容加载中请稍等...

相关主题

内容加载中请稍等...

浏览历史

内容加载中请稍等...
;
使用帮助 返回顶部