1. College of Information Science and Engineering, Yanshan University, Qinhuangdao 066004, China;
2. Economics Department, Qinhuangdao Institute of Technology, Qinhuangdao 066100, China
Abstract：The paper proposes users influence index model based on Sina micro-blog platform. Firstly, new users’ attention is used to replace the current false fans value, then the model uses this reasonable value to calculate users’ active index and micro-blog influence, at last it obtains the user influence by combining users’ active index and micro-blog influence reasonably. The model studies many factors of two aspects of users and users’ micro-blogs. The experiment result shows that the model can reduce the false fans’ interference and reflect the users’ real influence ability.
原福永, 冯静, 符茜茜. 微博用户的影响力指数模型[J]. 现代图书情报技术, 2012, 28(6): 60-64.
Yuan Fuyong, Feng Jing, Fu Qianqian. Influence Index Model of Micro-blog User. New Technology of Library and Information Service, 2012, 28(6): 60-64.
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