Influence Analyzing and Modeling of High Frequency Forwarding Microblogs

摘要

Classification of high frequency micro logs has been completed. A model is proposed in which the direct influence is based on some factors: the micro logger's aggregation, the activity, the amount of microblog comments and the number of fans, and the indirect influence is based on the forward depth and repost time. Official microblog "Chongqing Mobile" and grassroots microblog "Hong Jie" are chosen as examples to illustrate the modeling process of the influence of a single high frequency forward microblog, and the experiment result show that the proposed model is corresponded to the reality.