Nothing Special   »   [go: up one dir, main page]
Skip to main content
Springer Nature Link
Log in

PageRank: When Order Changes

  • Conference paper
Advances in Information Retrieval (ECIR 2007)

Part of the book series: Lecture Notes in Computer Science ((LNISA,volume 4425))

Included in the following conference series:

Abstract

As PageRank is a ranking algorithm, it is of prime interest to study the order induced by its values on webpages. In this paper a thorough mathematical analysis of PageRank-induced order changes when the damping factor varies is provided. Conditions that do not allow variations in the order are studied, and the mechanisms that make the order change are mathematically investigated. Moreover the influence on the order of a truncation in the actual computation of PageRank through a power series is analysed. Experiments carried out on a large Web digraph to integrate the mathematical analysis show that PageRank — while working on a real digraph—tends to hinder variations in the order of large rankings, presenting a high stability in its induced order both in the face of large variations of the damping factor value and in the face of truncations in its computation.

This is a preview of subscription content, log in via an institution to check access.

Access this chapter

Log in via an institution

Institutional subscriptions

Preview

Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

Similar content being viewed by others

References

  1. Boldi, P., Santini, M., Vigna, S.: PageRank as a function of the damping factor. In: Proc. of WWW, May 2005, pp. 557–566. ACM Press, New York (2005)

    Chapter  Google Scholar 

  2. Broder, A., et al.: Graph structure in the web. In: Proc. of WWW (2000)

    Google Scholar 

  3. Kendall, M.: Rank Correlation Methods, 4th edn. Charles Griffin & Co. Ltd., London (1975)

    MATH  Google Scholar 

  4. Langville, A.N., Meyer, C.D.: Google’s PageRank and Beyond: The Science of Search Engine Rankings. Princeton University Press, Princeton (2006)

    MATH  Google Scholar 

  5. Seneta, E.: Non-negative Matrices and Markov Chains, 2nd edn. Springer, New York (1981)

    MATH  Google Scholar 

Download references

Author information

Authors and Affiliations

  1. University of Padova, Department of Information Engineering,  

    Massimo Melucci & Luca Pretto

Authors
  1. Massimo Melucci
    View author publications

    You can also search for this author in PubMed Google Scholar

  2. Luca Pretto
    View author publications

    You can also search for this author in PubMed Google Scholar

Editor information

Giambattista Amati Claudio Carpineto Giovanni Romano

Rights and permissions

Reprints and permissions

Copyright information

© 2007 Springer Berlin Heidelberg

About this paper

Cite this paper

Melucci, M., Pretto, L. (2007). PageRank: When Order Changes. In: Amati, G., Carpineto, C., Romano, G. (eds) Advances in Information Retrieval. ECIR 2007. Lecture Notes in Computer Science, vol 4425. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-71496-5_54

Download citation

  • DOI: https://doi.org/10.1007/978-3-540-71496-5_54

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-71494-1

  • Online ISBN: 978-3-540-71496-5

  • eBook Packages: Computer ScienceComputer Science (R0)

Publish with us

Policies and ethics

Search

Navigation