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
DOI Bookmark: http://doi.ieeecomputersociety.org/10.1109/P2P.2007.36
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 Usage of this product signifies your acceptance of the Terms of Use. | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||