关键词: 微博社区, 博主影响力, PageRank算法, Influence Rank算法

Abstract: Based on the traditional PageRank algorithm, a new algorithm model is present to assess the influence of bloggers in community of microblog. The influence of bloggers in the microblog community reflects its authority, is one of the core concept of microblog community research. Through statistic analysis about the network characteristics on average degree, clustering coefficient and average path length indicators, which verify microblog community networks have a “Small World” significant features. Through two indicators of activity of users and blog quality, bloggers impact assessment system is constructed. Introduced the factor of the spread ability of the bloggers, the idea of PageRank algorithm is used to design a new influence ranking algorithm model （Influence Rank） to assess the blogger influence. Through the experimental comparison, it finds that Influence Rank algorithm in addition to considering the relationship of the node also takes into account the characteristics of the node itself, which can more accurately and objectively reflect the blogger’s influence ranking.

Key words: community of microblog, influence of bloggers, PageRank, Influence Rank