%0 Journal Article
%T Method of Multi-granularity Community Structure Mining Based on Local Information Detection<br>基于局部信息检测的多粒度社团挖掘方法
%A ZHU Tao
%A CHANG Guo-cen
%A GUO Rong-xiao
%A LI Xiang-jun
%A <br>朱涛
%A 常国岑
%A 郭戎潇
%A 李项军
%J 计算机科学
%D 2009
%I 
%X Taking consideration of complexity and dynamic of complex networks,a definition of local modularity was proposed,and an algorithm for communication structure mining based on local information detection was given,with the criterion,i,e.the best community is the node group whose local modularity is the largest.Then a method of multi-granu-larity community structure mining was proposed,which provides new ideas to observe structure characters of complex networks from various angles.Final experiments verify its ...
%K Complex networks
%K Community structure mining
%K Local information detection
%K Multi-granularity<br>复杂网络
%K 社团挖掘
%K 局部信息检测
%K 多粒度
%U http://www.alljournals.cn/get_abstract_url.aspx?pcid=5B3AB970F71A803DEACDC0559115BFCF0A068CD97DD29835&cid=8240383F08CE46C8B05036380D75B607&jid=64A12D73428C8B8DBFB978D04DFEB3C1&aid=55D315CA5DBCAF4000ACEE8C29AA2800&yid=DE12191FBD62783C&vid=933658645952ED9F&iid=5D311CA918CA9A03&sid=B78CD622C1934236&eid=28F9D9CF04F424FF&journal_id=1002-137X&journal_name=计算机科学&referenced_num=0&reference_num=8