Decomposition of the Google PageRank and Optimal Linking Strategy
Avrachenkov, Konstatin and Litvak, Nelly (2004) Decomposition of the Google PageRank and Optimal Linking Strategy. [Report]
| PDF 219Kb |
| 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. |
| Item Type: | Report |
| Copyright: | © 2004 INRIA |
| Faculty: | Electrical Engineering, Mathematics and Computer Science (EEMCS) |
| Research Group: | |
| Link to this item: | http://purl.utwente.nl/publications/80247 |
| Official URL: | http://hal.inria.fr/inria-00071482 |
| Export this item as: | BibTeX EndNote HTML Citation Reference Manager |
Repository Staff Only: item control page

Show download statistics for this publication
Show download statistics for this publication