Analysis Of Information Spreading Tendency In Microblog

With the development of wireless mobile communication technology and SocialNetworking Services, the Online Social Networks is much more popular in people’s dailylife. Online Social Networks keeps evolving under the influence of application andplatform development.Through the domestic and foreign research present situation, we find that we cananalyze the characteristics of the social networks to discover the related information whichwill be important for human society. In this paper, we will analyze the informationspreading in MicroBlog. MicroBlog is one of the most representative platform of socialnetworks. The analysis and modeling of the information spreading in MicroBlog is usefulfor the understanding of the users’ behavior which plays an important role in the OnlineSocial Networks.We use the Application Programming Interface of Sina to collect the data to do theanalysis and research. We analyze the information spreading from two aspects of the spaceand time. Then we take account of the behavior of the users in the online social networksso that the model will be more precise. We analyze the special users like the users verifiedwho participate in the information spreading separately and then compute thesuperposition of different special users’ influence according to the time and the distancebetween the special user and the information source. At last, we use the data in Sina toverify the model in this paper.