Skip to main content

PageRank as a Weak Tournament Solution

  • Conference paper

Part of the book series: Lecture Notes in Computer Science ((LNISA,volume 4858))

Abstract

We observe that ranking systems—a theoretical framework for web page ranking and collaborative filtering introduced by Altman and Tennenholtz—and tournament solutions—a well-studied area of social choice theory—are strongly related. This relationship permits a mutual transfer of axioms and solution concepts. As a first step, we formally analyze a tournament solution that is based on Google’s PageRank algorithm and study its interrelationships with common tournament solutions. It turns out that the PageRank set is always contained in both the Schwartz set and the uncovered set, but may be disjoint from most other tournament solutions. While PageRank does not satisfy various standard properties from the tournament literature, it can be much more discriminatory than established tournament solutions.

This material is based upon work supported by the Deutsche Forschungsgemeinschaft under grant BR 2312/3-1.

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

Buying options

Chapter
USD   29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD   84.99
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD   109.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Learn about institutional subscriptions

Preview

Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

References

  1. Alon, N.: Ranking tournaments. SIAM Journal of Discrete Mathematics 20(1), 137–142 (2006)

    Article  MATH  MathSciNet  Google Scholar 

  2. Altman, A., Tennenholtz, M.: On the axiomatic foundations of ranking systems. In: Proc. of 19th IJCAI, pp. 917–922 (2005) (Professional Book Center)

    Google Scholar 

  3. Altman, A., Tennenholtz, M.: Ranking systems: The PageRank axioms. In: Proc. of 6th ACM-EC Conference, pp. 1–8. ACM Press, New York (2005)

    Chapter  Google Scholar 

  4. Boldi, P., Santini, M., Vigna, S.: A deeper investigation of PageRank as a function of the damping factor. In: Web Information Retrieval and Linear Algebra Algorithms, number 07071 in Dagstuhl Seminar Proceedings (2007)

    Google Scholar 

  5. Brandt, F., Fischer, F.: Computational aspects of covering in dominance graphs. In: Holte, R.C., Howe, A. (eds.) Proc. of 22nd AAAI Conference, pp. 694–699. AAAI Press, Stanford, California, USA (2007)

    Google Scholar 

  6. Brandt, F., Fischer, F., Harrenstein, P.: The computational complexity of choice sets. In: Samet, D. (ed.) Proc. of 11th TARK Conference, pp. 82–91. Presses Universitaires de Louvain (2007)

    Google Scholar 

  7. Brin, S., Page, L.: The anatomy of a large-scale hypertextual web search engine. Computer Networks 30(1-7), 107–117 (1998)

    Google Scholar 

  8. Daniels, H.E.: Round-robin tournament scores. Biometrika 56(2), 295–299 (1969)

    Article  Google Scholar 

  9. Dutta, B., Laslier, J.-F.: Comparison functions and choice correspondences. Social Choice and Welfare 16(4), 513–532 (1999)

    Article  MATH  MathSciNet  Google Scholar 

  10. Fey, M.: Choosing form a large tournament. Mimeographed, University of Rochester (2002)

    Google Scholar 

  11. Kemeny, J.G., Snell, J.L.: Finite Markov Chains. Springer, Heidelberg (1976)

    MATH  Google Scholar 

  12. Laslier, J.-F.: Tournament Solutions and Majority Voting. Springer, Heidelberg (1997)

    MATH  Google Scholar 

  13. Moon, J.W., Pullman, N.K.: On generalized tournament matrics. SIAM Review 12(3), 384–399 (1970)

    Article  MATH  MathSciNet  Google Scholar 

  14. Moulin, H.: Choosing from a tournament. Social Choice and Welfare 3, 271–291 (1986)

    Article  MATH  MathSciNet  Google Scholar 

  15. Page, L., Brin, S., Motwani, R., Winograd, T.: The PageRank citation ranking: Bringing order to the Web. Technical Report 1999–66, Stanford University (1999)

    Google Scholar 

  16. Palacios-Huerta, I., Volij, O.: The measurement of intellectual influence. Econometrica 72(3), 963–977 (2004)

    Article  MATH  Google Scholar 

  17. Peris, J.E., Subiza, B.: Condorcet choice correspondences for weak tournaments. Social Choice and Welfare 16(2), 217–231 (1999)

    Article  MATH  MathSciNet  Google Scholar 

  18. Pretto, L.: A theoretical analysis of Google’s PageRank. In: Laender, A.H.F., Oliveira, A.L. (eds.) SPIRE 2002. LNCS, vol. 2476, pp. 131–144. Springer, Heidelberg (2002)

    Chapter  Google Scholar 

  19. Slutzki, G., Volij, O.: Scoring of web pages and tournaments—axiomatizations. Social Choice and Welfare 26, 75–92 (2006)

    Article  MATH  MathSciNet  Google Scholar 

  20. Woeginger, G.J.: Banks winners in tournaments are difficult to recognize. Social Choice and Welfare 20, 523–528 (2003)

    Article  MATH  MathSciNet  Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Editor information

Xiaotie Deng Fan Chung Graham

Rights and permissions

Reprints and permissions

Copyright information

© 2007 Springer-Verlag Berlin Heidelberg

About this paper

Cite this paper

Brandt, F., Fischer, F. (2007). PageRank as a Weak Tournament Solution. In: Deng, X., Graham, F.C. (eds) Internet and Network Economics. WINE 2007. Lecture Notes in Computer Science, vol 4858. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-77105-0_30

Download citation

  • DOI: https://doi.org/10.1007/978-3-540-77105-0_30

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-77104-3

  • Online ISBN: 978-3-540-77105-0

  • eBook Packages: Computer ScienceComputer Science (R0)

Publish with us

Policies and ethics