DagSemProc.07071.17.pdf
- Filesize: 234 kB
- 10 pages
Document
Three results on the PageRank vector: eigenstructure, sensitivity, and the derivative
Authors
-
Part of:
Volume:
Dagstuhl Seminar Proceedings, Volume 7071
Series: Dagstuhl Seminar Proceedings (DagSemProc) - License:
Creative Commons Attribution 4.0 International license
- Publication Date: 2007-06-28
Cite As Get BibTex
David Gleich, Peter Glynn, Gene Golub, and Chen Greif. Three results on the PageRank vector: eigenstructure, sensitivity, and the derivative. In Web Information Retrieval and Linear Algebra Algorithms. Dagstuhl Seminar Proceedings, Volume 7071, pp. 1-10, Schloss Dagstuhl – Leibniz-Zentrum für Informatik (2007)
https://doi.org/10.4230/DagSemProc.07071.17
Abstract
The three results on the PageRank vector are preliminary but shed light on the eigenstructure of a PageRank modified Markov chain and what happens when changing the teleportation parameter in the PageRank model. Computations with the derivative of the PageRank vector with respect to the teleportation parameter show predictive ability and identify an interesting set of pages from Wikipedia.
Subject Classification
Keywords
- PageRank
- PageRank derivative
- PageRank sensitivity
- PageRank eigenstructure
Metrics
- Access Statistics
-
Total Accesses (updated on a weekly basis)
0PDF Downloads