@inproceedings{bickson2007p,
author = {Bickson, Danny and Malkhi, Dahlia and Zhou, Lidong},
title = {P2P Rating},
booktitle = {7th IEEE International Conference on Peer-to-Peer Computing},
year = {2007},
month = {September},
abstract = {This paper proposes to utilize algorithms from the probabilistic graphical models domain for Peer-to-Peer rating of data items and for computing “social influence” of nodes in a Peer-to-peer social network. We evaluate the practicality of our approach using large scale simulations over a MSN Live Messenger subgraph consisting of about a million nodes. Our algorithms are general since they can be used for Peer-to-peer monitoring and for the efficient computation of other node ranking methods, such as PageRank and Information Centrality.},
url = {http://approjects.co.za/?big=en-us/research/publication/p2p-rating/},
edition = {7th IEEE International Conference on Peer-to-Peer Computing},
}