An opinion leader perceptual model based on PageRank algorithm

With more and more social public attention from microblog opinion leaders, they have gradually become the essential role to publicize information and influence public opinion in microblog platform, whose ability in monitoring and guiding public opinions also causes public focus. The thesis first proposes to start evaluation about influence of microblog opinion leaders from perspectives of individual activity, node attention degree, and user node quality and so on based on influence characters owned by microblog opinion leaders and constructs the analytical model of microblog information influence combined with PageRank. It can be found from research results that the method proposed in the thesis can analyze accurately and efficiently the influence of information in propagation route of microblog social communication network.