Title :
Peer-to-Peer Rating
Author :
Bickson, Danny ; Malkhi, Dahlia ; Zhou, Lidong
Author_Institution :
Hebrew Univ. of Jerusalem, Jerusalem
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.
Keywords :
peer-to-peer computing; social aspects of automation; MSN Live Messenger subgraph; node ranking method; peer-to-peer monitoring; peer-to-peer rating; peer-to-peer social network; probabilistic graphical model domain; social influence computing; Computer networks; Convergence; Cost function; Distributed computing; Graphical models; Iterative algorithms; Motion pictures; Peer to peer computing; Silicon; Social network services;
Conference_Titel :
Peer-to-Peer Computing, 2007. P2P 2007. Seventh IEEE International Conference on
Conference_Location :
Galway
Print_ISBN :
978-0-7695-2986-8
DOI :
10.1109/P2P.2007.36
