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In P2P networks, people use trust value to decide whether to interact with the peer, higher trust value means better resource, especially for the indirect interaction peers. There are many methods to calculate trust of peer who has direct interaction, but there are few methods for indirect interaction peers. Each peer in P2P networks can be not only the resource provider, but also the resource user, Based on the characteristics of peer interactions, this paper presents a new method called Max-aggregation, which calculates peer's reputation through the view of multidimensional and multiattribute, and get the indirect reputation using trust propagation and aggregation in the web of trust (WOT), the complete probability formula is applied to get the predictive trust value. Compared with other algorithms such as Max-mean, Tidal Trust, Max-min, this algorithm reflects the willingness of a peer towards the other peers better, evaluate the peers more comprehensive, and the experimental results demonstrate the accuracy of the proposed method.