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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
ASCII Text
x 
 
Danny Bickson, Dahlia Malkhi, Lidong Zhou, "Peer-to-Peer Rating," Peer-to-Peer Computing, IEEE International Conference on, pp. 211-218, Seventh IEEE International Conference on Peer-to-Peer Computing (P2P 2007), 2007.
 
 
BibTex
x
 
@article{ 10.1109/P2P.2007.36,
author = {Danny Bickson and Dahlia Malkhi and Lidong Zhou},
title = {Peer-to-Peer Rating},
journal ={Peer-to-Peer Computing, IEEE International Conference on},
volume = {0},
year = {2007},
isbn = {0-7695-2986-0},
pages = {211-218},
doi = {http://doi.ieeecomputersociety.org/10.1109/P2P.2007.36},
publisher = {IEEE Computer Society},
address = {Los Alamitos, CA, USA},
}
 
 
RefWorks Procite/RefMan/Endnote
x 
 
TY - CONF
JO - Peer-to-Peer Computing, IEEE International Conference on
TI - Peer-to-Peer Rating
SN - 0-7695-2986-0
SP211
EP218
A1 - Danny Bickson,
A1 - Dahlia Malkhi,
A1 - Lidong Zhou,
PY - 2007
KW - null
VL - 0
JA - Peer-to-Peer Computing, IEEE International Conference on
ER -
 
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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