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Abstract: This paper defines and describes a fully distributed implementation of Google's highly effective Pagerank algorithm, for "peer to peer"(P2P) systems. The implementation is based on chaotic (asynchronous) iterative solution of linear systems. The P2P implementation also enables incremental computation of pageranks as new documents are entered into or deleted from the network. Incremental update enables continuously accurate pageranks whereas the currently centralized web crawl and computation... (Update)
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BibTeX entry: (Update)
K. Sankaralingam, S. Sethumadhavan, and J. C. Browne. Distributed Pagerank for P2P Systems. In the 12th IEEE International Symposium on High Performance Distributed Computing (HPDC'03), June 2003. http://citeseer.ist.psu.edu/703678.html More
@misc{ sankaralingam03distributed,
author = "Karthikeyan Sankaralingam and Simha Sethumadhavan and James C. Browne",
title = "Distributed Pagerank for P2P Systems",
text = "K. Sankaralingam, S. Sethumadhavan, and J. C. Browne. Distributed Pagerank
for P2P Systems. In the 12th IEEE International Symposium on High Performance
Distributed Computing (HPDC'03), June 2003.",
year = "2003",
url = "citeseer.ist.psu.edu/703678.html" }
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