Study of data mining in social network analysis

被引：0
|
作者：
Beijing University of Posts and Telecommunications, Beijing, China [1 ]
不详 [2 ]
机构：
[1] Beijing University of Posts and Telecommunications, Beijing
[2] Shijiazhuang Post & Telecommunication Technical College, Shijiazhuang
来源：
J. Inf. Comput. Sci. | / 16卷 / 5947-5955期
关键词：
Data mining; Graph analysis; Link proportion; Social network analysis; Social structure;
D O I：
10.12733/jics20106851
中图分类号：
学科分类号：
摘要：
As a high-tech subject, data mining is more and more popular than before. Application of data mining in social networks will be mainly discussed here. Some mining methods and algorithms will be introduced to describe the social network. Method based on similarity measurement and statistics are useful here to analyze social networks, moreover, some specific datasets are used to analyze the characters of social networks by Ucinet which is very powerful data mining software. The Zachary club social networks subgroup, density, link proportion can be found from analysis. © 2015 by Binary Information Press
引用
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页码：5947 / 5955
页数：8
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