Open AccessNetwork statistical analysis in peer-to-peer application
Author(s) -
Yong Ren,
Jian Yuan,
Yue Wang,
Shan Xiu-Ming,
Yipeng Li,
Huang Xiao-Hong
Publication year - 2011
Publication title -
wuli xuebao
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.199
H-Index - 47
ISSN - 1000-3290
DOI - 10.7498/aps.60.058901
Subject(s) - computer science , popularity , resource (disambiguation) , upload , peer to peer , shared resource , replication (statistics) , cluster (spacecraft) , resource distribution , computer network , world wide web , resource allocation , statistics , mathematics , psychology , social psychology
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.