Recognition and Analysis of Opinion Leaders in Microblog Public Opinions

This paper constructs an opinion leader index system using the user influence and user activeness,and analyzes the weights of indexes with AHP(Analytic Hierarchy Process).This research analyzes the characteristics of public opinion based on the dataset from 3 emergency events in sina microblog, analyzes the characteristics of top 10 opinion leaders,and extracts the decision rules based on the rough set theory.We define two indicators: the consistency of opinion leaders and the stability of rank,and study the opinion leader's cross-topic characteristic.The experimental results demonstrate that the opinion leaders are topic-dependent and that only a few users can become opinion leaders across different topics.