Micro-blog user authority is one of the important factors to evaluate the reliability of micro-blog information.In this paper

a quantitative evaluation model of micro-blog user authority is proposed based on multi-feature fusion.Firstly

the concept of user authority is proposed

which is defined by two parts.the user influence and the convinced degree.In the case that the user domain influence factor is not considered

we extracted four user characteristics which include the user information spread influence

the user information integrity degree

the user activity degree and the user platform authentication index based on the Sina Weibo data and construct the user authority quantitative calculation model.Then

we determine the weight of the four user characteristics based on the analytical hierarchy process and the extraction algorithms of them are given respectively.At the same time

we put forward the UIRank model based on the followed value and the follow relationship network between the users which is used to calculate the user information spread influence and proved to be more effective than the famous PageRank algorithm through experiments.The experimental results show that the method proposed in this paper is more reasonable to calculate the user authority of micro-blog user

and it provide a feasible scheme for the quantitative evaluation of the user authority.