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Collective attention and ranking methods

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  • Gabrielle Demange

    (PSE - Paris-Jourdan Sciences Economiques - ENS Paris - École normale supérieure - Paris - INRA - Institut National de la Recherche Agronomique - EHESS - École des hautes études en sciences sociales - ENPC - École des Ponts ParisTech - CNRS - Centre National de la Recherche Scientifique, PSE - Paris School of Economics)

Abstract

In a world with a tremendous amount of choices, ranking systems are becoming increasingly important in helping individuals to find information relevant to them. As such, rankings play a crucial role of influencing the attention that is devoted to the various alternatives. This role generates a feedback when the ranking is based on citations, as is the case for PageRank used by Google. The attention bias due to published rankings affects new stated opinions (citations), which will, in turn, affect the next ranking. The purpose of this paper is to investigate this feedback by studying some simple but reasonable dynamics. We show that the long run behavior of the process much depends on the preferences, in particular on their diversity, and on the used ranking method. Two main families of methods are investigated, one based on the notion of 'handicaps', the other one on the notion of peers' rankings.

Suggested Citation

  • Gabrielle Demange, 2012. "Collective attention and ranking methods," PSE Working Papers halshs-00564982, HAL.
  • Handle: RePEc:hal:psewpa:halshs-00564982 Note: View the original document on HAL open archive server: https://halshs.archives-ouvertes.fr/halshs-00564982v2
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    References listed on IDEAS

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    1. Ignacio Palacios-Huerta & Oscar Volij, 2004. "The Measurement of Intellectual Influence," Econometrica, Econometric Society, vol. 72(3), pages 963-977, May.
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    Keywords

    Ranking; Scoring; Invariant method; Peers' method; Attention; Handicap; Scaling matrix; Dynamics through influence;

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