Abstract: Retweet is an important information diffusion mechanism in Microblogging,in which users can forward their followers’ blogging and share it to their fans,and it can quickly diffuse．This paper studied Microblogging retweet prediction．First we analyzed and extracted the important features,such as micro network structure,weight ratio,user profiles,and then proposed a new prediction algorithm based on random forest (RFMR)．The experiment shows that,compared to other classifications,RFMR has better performance．It can effectively predict user retweet behavior.

Key words: Social network,Machine learning,Random forest,Microblogging,Retweet