With the rapid development of social networks, microblog has become a platform for the spread of information dissemination. In view of the characteristics of microblog information diffusion, mining the potential law of microblog forwarding process is of great significance for public opinion monitoring, hot topic tracking, product marketing and so on. In this paper, the Sina microblog is used as the data source, the user and microblog content are used as the characteristic source. The neural network prediction algorithm in machine learning is introduced to establish the prediction model to realize the forward prediction of microblog. The results show that, compard with the traditional prediction method, the microblog forwarding can make a higher accuracy prediction.