Micro-blog has become the most popular information sharing tool in our daily life.The retweet behavior is a main method of information propagation in micro-blog.So the retweet number prediction is an interesting research topic and has much practical significance.However

most of current researches only regard this problem as aclassification or regression problem

and they did not consider the retweet propagation process.Considering the retweet propagation process

we propose a retweet number prediction model BCI.In our model

we think retweet messages are from two parts

direct followers and indirect followers.The retweet number of followers is decided by their retweet intention and influence.We use behavior and content information to estimate retweet intention for a direct follower and use the influence to estimate the indirect followers' retweet number.Experimental results on Sina Weibo dataset show that our retweet number prediction model has much better performance than other well-established methods.