An algorithm for evaluating the influence of micro-blog users.

With the popularity of social networks and the increasing number of micro-blog users, user influence research has become a new topic. Page Rank has been widely used to measure the importance of web pages basedon their interconnections in the webgraph but it does not apply to social networks. This paper presents a new algorithm for computing the influence of micro-blog users. According to the social network topology, an iterative factor is added in the new algorithm which is based on Page Rank algorithm. We can get the value of the user's influence by the method of a number of iterations and the weighted quantization. The results show that, after several iterations, each user's influence value will gradually converge. It tends to a fixed value and the ranking has no change after 18 times iterations. Experimental results can accurately reflect the influence of micro-blog users.