Network statistical analysis in peer-to-peer application

Abstract

The rich statistical characteristics in peer-to-peer (p2p) network have recently attracted much research interest. This paper reveals the internal network statistical characteristics in the user network and resource network, both of which are abstracted from the real application downloading logs. The two-segment degree and weight distribution of user nodes indicate the dynamic of p2p users, and the similar power-law distribution of resource nodes shows the popularity diversity. Furthermore, we found that these two networks have the inherent cluster structure, only minority of clusters contain a large number of nodes, and the majority have fewer nodes in it. In user network, users in the same cluster have similar file-sharing interest, in contrast to the different user interest between clusters; meanwhile, there are obvious correlations between different resource categories in resource clusters.