Skip to Main content Skip to Navigation
Reports

Decomposition of the Google PageRank and Optimal Linking Strategy

Abstract : We provide the analysis of the Google PageRank from the perspective of the Markov Chain Theory. First we study the Google PageRank for a Web that can be decomposed into several connected components which do not have any links to each other. We show that in order to determine the Google PageRank for a completely decomposable Web, it is sufficient to compute a subPageRank for each of the connected components separately. Then, we study incentives for the Web users to form connected components. In particular, we show that there exists an optimal linking strategy that benefits a user with links inside its Web community and in contrast inappropriate links penalize the Web users and their Web communities.
Document type :
Reports
Complete list of metadata

Cited literature [1 references]  Display  Hide  Download

https://hal.inria.fr/inria-00071482
Contributor : Rapport de Recherche Inria <>
Submitted on : Tuesday, May 23, 2006 - 5:42:53 PM
Last modification on : Thursday, September 24, 2020 - 10:22:03 AM
Long-term archiving on: : Sunday, April 4, 2010 - 10:18:18 PM

Identifiers

  • HAL Id : inria-00071482, version 1

Collections

Citation

Konstantin Avrachenkov, Nelly Litvak. Decomposition of the Google PageRank and Optimal Linking Strategy. [Research Report] RR-5101, INRIA. 2004. ⟨inria-00071482⟩

Share

Metrics

Record views

479

Files downloads

702