%0 Journal Article
%T Study on Algorithm of Community Detection Based on Information Entropy<br>基于信息熵的社区发现算法研究
%A WANG Gang
%A ZHONG Guo-xiang
%A <br>王刚
%A 钟国祥
%J 计算机科学
%D 2011
%I 
%X There are some faults of present community detection algorithm, which is based on the in degree, out degree and betweenness of nodes,we presented a algorithm based on Entropy to detect community structure. A community ineludes many information and it's Entropy. Members of a community have some common gains or interests, we think that if a member want to join a community, it can't make the entropy of the community exceed a threshold, otherwise it can't be the member of a exist community. Our experiments show the processing and the efficiency of our algorithms.
%K Community detection
%K Information entropy
%K Recommendation system
%K Data mining<br>社区发现，信息嫡，推荐系统，数据挖掘
%U http://www.alljournals.cn/get_abstract_url.aspx?pcid=5B3AB970F71A803DEACDC0559115BFCF0A068CD97DD29835&cid=8240383F08CE46C8B05036380D75B607&jid=64A12D73428C8B8DBFB978D04DFEB3C1&aid=207D58F01D1F7EF59F775EAE0B7E2D8F&yid=9377ED8094509821&vid=16D8618C6164A3ED&iid=0B39A22176CE99FB&sid=9CA95D22FC1D537C&eid=C812B90E96151014&journal_id=1002-137X&journal_name=计算机科学&referenced_num=0&reference_num=9