Research On User's Influence In Microblogging

Social networking is a multi-functional platform for information exchange,multimedia,and e-commerce.Each user in the social network has the responsibility of sharing and collecting information.Because of the different position of each user in the social network,the influence of information transmission is also different.Microblogging is a typical representative of today's social network,Based on microblogging,the main research work in this paper is as follows:A model of influence evaluation based on user behavior and user information content is proposed.In this model,the measurement of user behavior mainly consists of two parts,that is,the communication frequency between users and the importance of users.The communication frequency between users reflects the users' will of exchanging information will,is the foundation of information sharing.The importance of users is composed of two parts,one part is the tightness,it shows the magnitude of the interaction force between users,the other one is betweenness,it indicates the users' capability of providing the shortest possible routing for another users,the two parts reflect the connectivity of user nodes in the social network.At the same time,the user informationcontent is included in the evaluation model of user influence,the user influence ultimately depends on the degree of communication between users,the greater the flow of information,the greater the impact the user has on the entire micro-blog network structure.The method used in this paper is compared with the PageRank algorithm,UIA algorithm based on PageRank algorithm and user behavior.The PageRank is a classical method to calculate the users' influence,and the UIA algorithm is one of the mature methods to evaluate the user's influence now.It is proved by experiments that the applicability of the proposed method in this paper.In addition,because the method is simple to operate,it can reduce the operation time and storage cost.