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The Ranking Mechanism Research For Micro-blog Users

Posted on:2013-09-13Degree:MasterType:Thesis
Country:ChinaCandidate:J FengFull Text:PDF
GTID:2248330392954637Subject:Computer technology
Abstract/Summary:PDF Full Text Request
The rapid development of micro-blog made its influence continues expanding, andalso made the single user ranking mechanism no longer adapted its development. Atpresent, the research about the micro-blog still in a primary stage, although the study inthe users ranking mechanism has got some preliminary result, the preliminary resultexisting the problems such as evaluation method was single and influence factors considerwas shortage. The paper researches and analysis into this problem, and puts forward animproving method. The major work is as following.First of all, in view of the existing problems in solve method to the zombie fans, fromthe aspects of the link analysis proposed the user attention based rank mechanism. In themethod gave the user attention conception from the quantity and quality different of userfans, it can represented the user’s potential influence, use the inequality weight PageRankalgorithm reduced the zombie fans influence the micro-blog user’s ranking.Secondly, based on problem of the existed evaluation method in micro-blog userinfluence, we provided the link analyze based and user action based evaluation method,this method combined the micro-blog user potential influence that represented by the userattention and the user’s practical activity. The factors considered more reasonable andcomprehensive, and more real reflect the actual influence index of the micro-blog users.Finally, the experimental process is designed to verify and analyze the two pointcontents in this paper. The experiment contrast the method in this paper with some of theexisting algorithms, and we detail analyze the experimental results, verified theeffectiveness of the user attention ranking in reduced the zombie powder’s influence andthe rationality of the user influence ranking.
Keywords/Search Tags:micro-blog, rank mechanism, link analysis, user attention, PageRank, userinfluence
PDF Full Text Request
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