计算机应用研究Issue(9)：2678-2683,6.DOI:10.3969/j.issn.1001-3695.2015.09.028
基于用户行为网络的微博意见领袖挖掘算法
Mining algorithm of microblogging opinion leaders based on user-behavior network
摘要
Abstract
In the mining of microblogging opinion leaders,features were always separately considered,such as users’attrib-utes,network structures and mutual information.Researchers rarely considered the relationship among these features,as well as the topic features of information in microbloggings.Aimed at above problems,this paper proposed an algorithm,named TopicLeaderRank,for opinion leaders mining in microbloggings based on the user-behavior network.First,the algorithm built a user-behavior network by using users’content and social attributes and mutual information about a specific topic.Then it a-dopted the thought of voting in the PageRank algorithm to find opinion leaders.It also considered the influence from the weights of nodes and edges in the use-behavior network on the voting.Experiments based on three data sets of Sina MicroBlog show that the algorithm is efficient.It gets higher scores on indicators of coverage and coreratio than the sorting algorithm by user’s weights and Microblog-Rank algorithm.It also performs better than the other two algorithms in the artificial evaluation.关键词
意见领袖/微博/话题/PageRankKey words
opinion leader/microblogging/topic/PageRank分类
信息技术与安全科学引用本文复制引用
吴岘辉,张晖,赵旭剑,李波,杨春明..基于用户行为网络的微博意见领袖挖掘算法[J].计算机应用研究,2015,(9):2678-2683,6.基金项目
四川省教育厅基金资助项目（14ZB0113）；西南科技大学博士基金资助项目 （）
