Microblogging Users’Influence Research Based On Improved PageRank Algorithm

Microblogging shows the explosive development in recent years, has become animportant way for people to use the Internet to communicate. Users are the core ofMicroblogging network, through the study of user’s characteristics and their effect oninformation dissemination, only a small amount of core users played a guiding role inthe dissemination of information. While current research for the influence ranking ofthe Microblogging network users just gives users the order of the users influenceranking, we cannot judge the problem that which users played the guiding role in themicroblogging network dissemination of information. Through the analysis andresearch on the way of microblogging network dissemination of information and themicroblogging network model, this paper proposed a new microblogging usersnetwork’s guiding group recognition algorithm, which provide public opinionmonitoring and track in the microblogging network for useful reference. Specifically,the main works of this paper include the following aspects:1. Through the analysis and research on the way of microblogging networkdissemination of information, this paper builds up a microblogging informationtransmission network model. Then through research on the zombie fans and theexample of microblogging network model, put forward the concept that ismicroblogging network leading group, at the same time confirmed the tremendousimpact on its effect in the microblogging network dissemination of information.2. Aiming at the problems, which includes that traditional PageRank algorithmcannot avoided the artificial is difficult to determine the number of iterations, Through the research and analysis on the sorting algorithm of microblogging users influencebased on traditional PageRank algorithm, this paper proposed that using personalizedPageRank algorithm to compute user’s influence, to reduce the computing time andapace complexity.3. Through the analysis of exist microblogging user influence research, aiming atthe problem that current user influence ranking algorithm cannot determine themicroblogging leading group, this paper proposed a new LeadersRank algorithm whichis used for recognizing the leading group in the microblogging network, and put it intopractice microblogging network operation, obtained the user members of the leadinggroup marked ‘IT workers’in the Tencent microblogging, confirmed the feasibility andeffectiveness of the algorithm.