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On the influence of a ranking system

机译:对排名系统的影响

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Ranking systems are becoming increasingly important in many areas, in the Web environment and academic life for instance. In a world with a tremendous amount of choices, rankings play the crucial role of influencing which objects are tasted or selected. This selection generates a feedback when the ranking is based on citations, as is the case for the widely used invariant method. The selection affects new stated opinions (citations), which will, in turn, affect the next ranking. The purpose of this paper is to investigate this feedback in the context of journals by studying some simple but reasonable dynamics. Our main interest is in the long run behavior of the process and how it depends on the preferences, in particular on their diversity. We show that multiple long run behaviors may arise due to strong self-reinforcing mechanisms at work with the invariant method. These effects are not present in a simple search model in which individuals are influenced by the cites of the papers they first read.
机译:排名系统在许多领域中变得越来越重要,例如在Web环境和学术生活中。在拥有众多选择的世界中,排名起着至关重要的作用,影响着品尝或选择哪些对象。当排名基于引用时(如广泛使用的不变式方法),此选择会产生反馈。选择会影响新的陈述意见(引用),进而影响下一个排名。本文的目的是通过研究一些简单但合理的动态来研究期刊背景下的反馈。我们的主要兴趣在于流程的长期行为以及它如何取决于首选项,尤其取决于首选项的多样性。我们表明,由于使用不变方法而产生的强大的自我增强机制,可能会出现多种长期行为。这些效果在简单的搜索模型中不存在,在该模型中,个人会受到他们首次阅读的论文的引用的影响。

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  • 来源
    《Social Choice and Welfare》 |2012年第3期|431-455|共25页
  • 作者

    Gabrielle Demange;

  • 作者单位

    PSE-EHESS 48 bd Jourdan 75014 Paris France;

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  • 正文语种 eng
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