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Domain-oriented Microblogging Authority Figures Analysis And Research

Posted on:2015-01-20Degree:MasterType:Thesis
Country:ChinaCandidate:Y ZhangFull Text:PDF
GTID:2268330425484669Subject:Computer technology
Abstract/Summary:PDF Full Text Request
Microblog is not only one of the most influential online social platforms, but also the most popular object of social networking study currently. Among them, the research of Microblog community analysis and authority figures is a hotspot of social network research.However, existing authority figures mining do not fully reflect the characteristics of the authority figures’domains, which means different domains has different authority figures, Microblog VIP and authority are the two concepts. Therefore, we start from mining authority figures from the mass Microblog Automatically.Domain-oriented authority figures ranking has a dual nature, it not only based on the text content of domains, but also requires a combination of network behavior analysis. In this paper, we took Sina Weibo as the research object, analyze Weibo content and domain-based user diagram on the basis of the field dictionary, proposed the microblog authoritative user measurement model DMAURM (Domain-Oriented Microblog Authoritative User Ranking Model). Experimental results on massive data of Sina Weibo in multiple domains show that when comparing with the average number of users forwarding rank and the number of fans rank, the algorithm effectively reducing the too large impact of fans number, and then able to identify more authoritative users.On the basis of above measurement model, we implemented an analysis system of Domain-Oriented Microblog Authoritative User. After users select specific domain, the system will automatically get domain authority figures, and related micro-blogging authority figures recently released. The system is integrated into the industry consulting portal of collaborative enterprise.
Keywords/Search Tags:Social Network, Authoritative Users, Domains-Dictionary, PageRank
PDF Full Text Request
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