Research On The Influence Maximization Problem In Weibo Social Network

With the advent of the information age,information explosion and information growth have become the mainstream words in today's society.How to mine the knowledge in the information,make better use of the information to make decisions,and know where the information is going according to the information dissemination process,is the research hotspot.Social networks are a vehicle for researching information,and social software is the media of social network.People can get the information they want in social software anytime and anywhere.How to share information with more people and how to spread the influence to the maximum extent are the main contents of the study of influence maximization.The social software of Weibo has developed for decades,and its active users have reached the level of hundreds of millions.Therefore,it is of practical significance to study the problem of influence maximization in the social network of Weibo.Based on the microblogging social network topological structure properties and weibo users own properties,such as user activity in the social network,the propagation force,coverage and user interaction between number(thumb up weibo number,forwarding microblogging number,comment on weibo),is proposed based on a microblogging social network influence propagation model and algorithm.The influence maximization propagation model and the influence maximization algorithm are evaluated in many aspects,it is proved that the propagation model is more consistent with the real propagation of Weibo social network,and the algorithm has a good performance in both the propagation range and operational efficiency.