Modeling Follow and Forward Behaviors of Micro-blog User

As a popular social media, micro-blog has been widely accepted and used, so that some people are absorbed in following others to gain so-called convenient information. At the same time rumors and meaningless topics also have opportunity to be irrational spread. To control this phenomenon research on human behavior is of great importance. Supposing follow and forward behaviors based on identify with other users or agreement with their opinions, this paper discovers some social laws about micro-blog users follow behavior and forward behavior, lists related factors, proposes an unsymmetrical user interest model, and improves it with some social and behavior psychologies. In the end, the probability of following certain person and forwarding given message is calculated to verify the proposed model.