HUANG Xianying, YANG Anzhi, LIU Xiaoyang, LIU Guangfeng
The current PageRank algorithm based microblog user influence evaluation model has many problems,such as the lack of users' attributes and the incorrect evaluation of users' influence during their inactive period.In this paper,the attributes of users are comprehensively considered,and their basic influence is confirmed based on users' activeness,authentication information and blog quality.Then,according to the blog dissemination rate,this paper further excavates the potential influence of users.Ultimately,with the evaluation of the quality of different microblog friends,a microblog user influence evaluation algorithm is established on the basis of improved PageRank algorithm.Experimental results show that compared with BWPR improved algorithm,the accuracy,recall rate and F value of the proposed method are increased by 13.5%,10.1% and 12.3% respectively.It can reflect the actual influence of users in a more accurate and objective way,which can provide references to the researches on opinion leader identification,information dissemination and the guidance of public opinions in social networks.