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Seventh IEEE International Conference on Peer-to-Peer Computing (P2P 2007)
Peer-to-Peer Rating
Galway, Ireland
September 02-September 05
ISBN: 0-7695-2986-0
Danny Bickson, Hebrew University of Jerusalem
Dahlia Malkhi, Microsoft Research, Silicon Valley
Lidong Zhou, Microsoft Research, Silicon Valley

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 largescale 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.

Citation:
Danny Bickson, Dahlia Malkhi, Lidong Zhou, "Peer-to-Peer Rating," p2p, pp.211-218, Seventh IEEE International Conference on Peer-to-Peer Computing (P2P 2007), 2007
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