Peer-to-Peer Rating

12 years 9 months ago
Peer-to-Peer Rating
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.
Danny Bickson, Dahlia Malkhi, Lidong Zhou
Added 04 Jun 2010
Updated 04 Jun 2010
Type Conference
Year 2007
Where P2P
Authors Danny Bickson, Dahlia Malkhi, Lidong Zhou
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