%0 Journal Article
%T Algorithm of community detection based on data fields<br>一种基于数据场的社区发现算法*
%A WANG Li-jun
%A YANG Bing-ru
%A XIE Yong-hong
%A <br>王莉军
%A 杨炳儒
%A 谢永红
%J 计算机应用研究
%D 2011
%I 
%X This paper proposed an algorithm of community detection based on data fields(CDDF). CDDF selected the vertices with the largest energy as center in community, and then processed the partition of community iterated. Experiments prove that using the potential function CDDF can deal with the problem of a reasonable initial conditions selection in community detection, avoid the impact of noise, and has good performance.
%K community detection
%K complex network
%K field theory
%K data fields
%K cluster<br>社区发现
%K 复杂网络
%K 场论
%K 数据场
%K 聚类
%U http://www.alljournals.cn/get_abstract_url.aspx?pcid=5B3AB970F71A803DEACDC0559115BFCF0A068CD97DD29835&cid=8240383F08CE46C8B05036380D75B607&jid=A9D9BE08CDC44144BE8B5685705D3AED&aid=1F8EB868F38CE0724BE609B1831E1261&yid=9377ED8094509821&vid=D3E34374A0D77D7F&iid=708DD6B15D2464E8&sid=C295F5A245A0E375&eid=C65BAF88D57983CB&journal_id=1001-3695&journal_name=计算机应用研究&referenced_num=0&reference_num=21