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基于属性模型构建的社交网络的链路预测 被引量:1

Link Prediction of Social Network Based on Multi Information Synthesis
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摘要 随着Twitter、脸谱和微博等网站的发展,越来越多的人参与到社交网络的互动中,与朋友分享他们的情感、兴趣和观点,随着用户规模的不断增长,社交网络提供用户信息配置服务,以便给用户提供更个性的服务。针对如何利用这些用户信息配置数据,对新增长的孤立用户(无连接)与老用户之间的是否连接的关系进行分析,提出一种基于用户配置信息的属性模型来量化用户之间的连接关系,并通过实验进行验证。 With the development of websites such as Twitter, Facebook, and Micro-Blog, more and more people are involved in the interaction of social networks, sharing their feelings, interests and views with their friends. With the increasing number of users, the social network provides user information configuration services to provide users with more personalized services. In view of how these data are used to analyze the relationship between these newly growing isolated users(unconnected) and old users, proposes an attribute model based on user configuration information to quantify the connections between users, and uses the experiment to verify the relationship.
作者 周明强 王莹 ZHOU Ming-qiang, WANG Ying(College of Computer Science, Chongqing University, Chongqing 40004)
出处 《现代计算机》 2018年第9期13-16,共4页 Modern Computer
关键词 复杂网络 链路预测 社交网络 用户配置信息 Complex Network Link Prediction Social Networks
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