%0 Journal Article
%T Social network matching model using dynamic Bayesian network<br>基于动态贝叶斯网络的社交圈归属匹配模型
%A WU Jun-wei
%A HE Liang-hua
%A FANG YuSchool of Electronics
%A Information
%A Tongji University
%A Shanghai
%A China
%A National Engineering
%A Technology Center of High Performance Computing
%A Tongji Branch
%A <br>吴俊伟
%A 何良华
%A 方钰
%J 计算机应用
%D 2008
%I 
%X In order to help a new client in the social network finding the best matching circle of social communication for itself, the Dynamic Bayesian Network (DBN) theory was introduced. The group set up by several hobbies' degrees was described as the eigenvector of the circle's property and DBNs with auxiliary information were set up for each circle using this eigenvector. The best matching result is the DBNs maximal output. Objective and subjective experiments show that this model can achieve satisfactory result for the matching task.
%K social network
%K social set
%K Dynamic Bayesian Network
%K statistical model
%K auxiliary information<br>社交网络
%K 社交圈
%K 动态贝叶斯网络
%K 统计模型
%K 辅助信息
%U http://www.alljournals.cn/get_abstract_url.aspx?pcid=5B3AB970F71A803DEACDC0559115BFCF0A068CD97DD29835&cid=8240383F08CE46C8B05036380D75B607&jid=831E194C147C78FAAFCC50BC7ADD1732&aid=5DA238C45EC5862178C8D5D8E250F64B&yid=67289AFF6305E306&vid=D3E34374A0D77D7F&iid=59906B3B2830C2C5&sid=3F767A77E9E1F6A5&eid=42356A32B6BEC2C1&journal_id=1001-9081&journal_name=计算机应用&referenced_num=0&reference_num=10