基于多特征融合的微博用戶權(quán)威度定量評(píng)價(jià)方法
[Abstract]:Weibo user authority is one of the important factors to evaluate the information reliability of Weibo. This paper presents a quantitative evaluation model for Weibo user authority based on multi-feature fusion. First of all, the concept of user authority is proposed, which is defined as user influence and credibility. In order to construct a quantitative computing model of user authority, four evaluation features of Weibo's influence on information dissemination, user information integrity, user activity and user platform authentication index are extracted. The weights of the four evaluation features of the constructed model are determined by using the analytic hierarchy process (AHP), and the extraction algorithms of the four evaluation features are given respectively. At the same time, on the basis of user concern relation network, a user information dissemination influence model, UIRank, is proposed based on user concerned value, and it is proved to be more effective than PageRank algorithm through experiments. The experimental results show that the quantitative calculation model of Weibo's user authority is reasonable, which provides a feasible solution for the quantitative evaluation of user authority.
【作者單位】: 北京信息科技大學(xué)智能信息處理研究所;
【基金】:國(guó)家自然科學(xué)基金(No.61070119,No.61370139,No.61772081,No.61602044) 北京市屬高等學(xué)校創(chuàng)新團(tuán)隊(duì)建設(shè)與教師職業(yè)發(fā)展計(jì)劃(No.IDHT20130519)
【分類號(hào)】:TP393.092
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