Determining factors behind the pagerank log-log plot

Yana Volkovich, Nelly Litvak, Debora Donato

Research output: Chapter in Book/Report/Conference proceedingConference contributionAcademicpeer-review

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We study the relation between PageRank and other parameters of information networks such as in-degree, out-degree, and the fraction of dangling nodes. We model this relation through a stochastic equation inspired by the original definition of PageRank. Further, we use the theory of regular variation to prove that PageRank and in-degree follow power laws with the same exponent. The difference between these two power laws is in a multiplicative constant, which depends mainly on the fraction of dangling nodes, average in-degree, the power law exponent, and the damping factor. The out-degree distribution has a minor effect, which we explicitly quantify. Finally, we propose a ranking scheme which does not depend on out-degrees.
Original languageEnglish
Title of host publicationAlgorithms and Models for the Web-Graph
Subtitle of host publication5th International Workshop, WAW 2007, San Diego, CA, USA, December 11-12, 2007. Proceedings
EditorsAnthony Bonato, Fan R.K. Chung
Place of PublicationBerlin, Heidelberg
Number of pages16
ISBN (Electronic)978-3-540-77004-6
ISBN (Print)978-3-540-77003-9
Publication statusPublished - 2007
Event5th International Workshop on Algorithms and Models for the Web-Graph, WAW 2007 - San Diego, United States
Duration: 11 Dec 200712 Dec 2007
Conference number: 5

Publication series

NameLecture Notes in Computer Science
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349


Workshop5th International Workshop on Algorithms and Models for the Web-Graph, WAW 2007
Abbreviated titleWAW
Country/TerritoryUnited States
CitySan Diego


  • EWI-11672
  • MSC-60J80
  • METIS-245912
  • MSC-90B15
  • IR-62095
  • MSC-68P10


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