| The appearance of Weibo gradually gained widespread recognition and attention from a large number of users.We can share all information here and our friends who have concerned us can see it immediately and interact with us online.We can get all kinds of information on Weibo.However,it is undeniable that good and bad people were mixed up with the increasing number of Weibo users.Inaccurate information and false statements that are inadvertently or deliberately spread affect people's judgment.Therefore,it is significant for our online social life to identify Weibo users with higher credibility effectively and establish a feasible trust evaluation system.This article has done the following work for the study of Weibo users' credibility:First of all,after analyzing existing assessment factors for the Weibo user credibility model,new evaluation factors have been added.For example,the content of blog posts includes themes,web links,pictures,and small videos and so on,and has added the index of the original microblog to the basic indicators of the previous forwardings,commentaries and likes.Secondly,on the basis of the analysis of the evaluation factors,the idea of probability is integrated and the user credibility model system is divided into three aspects: Bowen rate,attraction rate,and impact rate.In the calculation of influence factor,the microblog number,attention number,and fan number factor were adjusted through the improved PageRank algorithm to adjust the proportional parameters.Finally,a microblog user credibility model was constructed.Finally,experiments were conducted on Sina Weibo users,weibo star power rankings,and weibo data of national college and university league committees.At the same time,the credibility value of Weibo users under this algorithm and the authority and centrality of HITS-UC algorithm were used.The comparison of the results proves the validity of the microblog user credibility method in this paper. |
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