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Three results on the PageRank vector: eigenstructure, sensitivity, and the derivative Gleich, David Glynn, Peter Golub, Gene Greif, Chen PageRank PageRank derivative PageRank sensitivity PageRank eigenstructure 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. Schloss Dagstuhl – Leibniz-Zentrum für Informatik David Gleich and Peter Glynn and Gene Golub and Chen Greif 2007 Is Part Of Dagstuhl Seminar Proceedings, Volume 7071, Web Information Retrieval and Linear Algebra Algorithms (2007) InProceedings Text doc-type:ResearchArticle publishedVersion application/pdf doi:10.4230/DagSemProc.07071.17 urn:nbn:de:0030-drops-10615 https://drops.dagstuhl.de/entities/document/10.4230/DagSemProc.07071.17 eng https://creativecommons.org/licenses/by/4.0/legalcode