计算机应用研究2016，Vol.33Issue(3)：686-688,692,4.DOI:10.3969/j.issn.1001-3695.2016.03.011
基于 LDA 的结构-内容联合社团发现模型
LDA based community discovery model jointly considering structure and content
摘要
Abstract
In social networks,discovering communities according to the structure and content of networks can not only group users in communities,but also predict latent relationship between users.In order to improve the performance of community discovery,this paper proposed a LDA based community discovery model jointly considering structure and content.Firstly,it transformed the graph of a social network into a LDA based model.Secondly,it extended the transformed LDA model by incor-porating contents of actions between users.Finally,it estimated the parameters of the proposed model based on Gibbs sam-pling.The experiments show that,compared with the related works,the proposed model is more efficient in discovering com-munities which users are tightly connected and having similar interests.Moreover,based on the communities discovery,it can better predict the latent friendships in a social network.关键词
社会网络/社团发现/LDA 模型/网络模型Key words
social networks/community discovery/LDA model/network model分类
信息技术与安全科学引用本文复制引用
叶娟,陈启买..基于 LDA 的结构-内容联合社团发现模型[J].计算机应用研究,2016,33(3):686-688,692,4.基金项目
国家自然科学基金资助项目（61170306）；广东省教育厅资助项目（Yq2013177）；广东省科学技术厅资助项目 （）
