Measuring Micro-blogging User Influence Based on User-Tweet Interaction Model

摘要：

　　Measuring micro-blogging user influence is very important both in economic and social fields.In this paper, we propose a user-tweet interaction model to describe the relationships among users and tweets.Considering the time affect, TAC(time-effectiveness attenuation coefficient) is proposed when calculating tweet influence which consists of retweet influence and comment influence.Then we make a detail analysis on the generation of user influence which consists of post influence and follow influence based on the results of tweet influences.We also discuss the correlation between post influence and follow influence by use of Spearmans rank correlation coefficient.At last, we rank users by calculating the bias spatial distances.Taking Sina micro-blogging as background, after a series of experiments, we believe that our method is accurate and comprehensive when measuring the influences of micro-blogging users.

关键词： micro-blogging user influence user-tweet interaction model correlation

作者: Dong Liu Quanyuan Wu Weihong Han

作者单位: School of Computer, National University of Defense Technology 410073 Changsha, 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: 146-153

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）