Search algorithm based on information diffusion for unstructured peer-to-peer networks

Proposed is a search algorithm based on information diffusion for effectively searching resource in a dynamic unstructured peer-to-peer network. The learning phase for the resource changes could be accelerated in the network while still maintaining high accuracy. An improved performance compared with the adaptive probabilistic search algorithm is demonstrated in terms of search efficiency, success rates, as well as consuming of bandwidth.