Discover Community Leader in Social Network with PageRank

摘要：

　　Community leaders are individuals who have huge influence on social network communities.Discovering community leaders in social networks is of great significance for research on the structures of the social networks and for commercial application.Based on the core idea of the PageRank algorithm, this paper firstly processes data selected from Sina microblog, and extracts three key indicators, comprising the number of followers, the number of comments and the number of reposts; then based on their mutual relationship, that is following or followed, it obtains the weight of influence for each individual user; and then after a finite number of iterations, this paper identifies the community leader in Sina microblog, by which its comprehensive influence on its community are reflected.

关键词： social network PageRank algorithm community leader

作者: Rui Wang Weilai Zhang Han Deng Nanli Wang Qing Miao Xinchao Zhao

作者单位: School of Science,Beijing University of Posts and Telecommunications, Beijing 100876, China

会议类型: 国际会议

会议名称: 4th international Conference,ICSI2013(第4届群体智能国际会议)

会议地点: 哈尔滨

会议语种:英文

页码: 154-162

在线出版日期: 2013-06-12（万方平台首次上网日期，不代表论文的发表时间）