An importance matrix iteration algorithm for online social network importance analysis was proposed based on existing importance analysis algorithms for complex networks, and considering the characteristics of online social networks. This novel approach considers the influence between nodes and has been approved to be efficient and accurate by experiments described in the paper. This paper can help to improve the efficiency and accuracy of the analysis of information propagation and public opinions on the Internet.