Xiao Yu
School of Computer Science and Technology, Shandong University of Finance and Economics, 250000, Jinan, China
Ruzhi Xu
School of Computer Science and Technology, Shandong University of Finance and Economics, 250000, Jinan, China
Peiyao Nei
School of Computer Science and Technology, Shandong University of Finance and Economics, 250000, Jinan, China
ABSTRACT
Nowadays, microblogging has become an important way to share and propagate information. With rapid expansion of information in the microblogging sites, how to identify influential users is of important theoretical value and practical significance. In this study, an algorithm WeiboerRank based on Page Rank is proposed to rank the influence of users in the microblogging sites. It effectively combines users influence on the followers, the influence on others by the followers and the influence brought by reposting. Compared with the existing work, WeiboerRank can measure the influence of users more effectively.
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How to cite this article
Xiao Yu, Ruzhi Xu and Peiyao Nei, 2013. Weiboerrank: Rank the Influence of Users in the Microblogging Sites. Information Technology Journal, 12: 5070-5074.
DOI: 10.3923/itj.2013.5070.5074
URL: https://scialert.net/abstract/?doi=itj.2013.5070.5074
DOI: 10.3923/itj.2013.5070.5074
URL: https://scialert.net/abstract/?doi=itj.2013.5070.5074
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