计算机应用研究2018，Vol.35Issue(4)：1028-1032,5.DOI:10.3969/j.issn.1001-3695.2018.04.015
基于PageRank的微博用户影响力算法研究
Research on algorithm of micro-blog user influence based on PageRank
摘要
Abstract
With the rapid development and popularization of the Internet,micro-blog as a carrier of information exchange and dissemination,has become a new type of social media representatives.In China,micro-blog user size has reached 242 million.Microblogging user influence calculation of the daily information in the micro-blog inside the effective dissemination,the correct dissemination of health communication has a very important significance.This paper took Sina Weibo data as the object of experiment,and improved the traditional PageRank model,and put forward the new micro-blog user influence rank algorithm.The algorithm in the traditional PageRank algorithm model,joined the micro-blog users themselves in the micro-blog inside the behavior of activities,taking into account the micro-blog user's own behavior,combined with the user's weight to get the ultimate influence.The experimental results show that the MBUI-Rank algorithm can reflect the actual influenceof microblog users more effectively and effectively than the traditional PageRank algorithm.关键词
PageRank/新浪微博/用户影响力/用户自身行为Key words
PageRank/Sina Weibo/user influence/user's own behavior分类
信息技术与安全科学引用本文复制引用
孙红,左腾..基于PageRank的微博用户影响力算法研究[J].计算机应用研究,2018,35(4):1028-1032,5.基金项目
国家自然科学基金资助项目(61170277,61472256) （61170277,61472256）
上海市教委科研创新重点项目(12zz137) （12zz137）
沪江基金资助项目(C14002) （C14002）
