Online review is a new type of multi-attribute group decision making problem under the social network environment. Firstly, in order to deal with the uncertainty of online evaluation process, the paper defines the algorithms of distributed trust, the integration operator and the sorting method. Then, a distributed trust social network analysis (SNA) methodology is proposed to represent trust relationship between experts and compute the trust degree of each expert. Furthermore, the paper combines the maximum average weighted distance and minimum average weighted distance to determine the integrated attribute weights based on distributed trust online reviews, and utilizes relative closeness coefficient to rank the alternatives. An extended TOPSIS method based on distributed trust is developed. Finally, an example is given to illustrate the feasibility of the proposed decision making method.