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Behavior Mining in h-index Ranking Game


  • Tagiew, Rustam
  • Ignatov, Dmitry I.


Academic rewards and honors are proven to correlate with h-index, although it was not the decision criterion for them till recent years. Once h-index becomes the rule-setting scientometric ranking measure in the zero-sum game for academic positions and research resources as suggested by its advocates, the rational behavior of competing academics is expected to converge towards its game-theoretic solution. This paper derives the game-theoretic solution, its evidence in scientometric data and discusses its consequences on the development of science. DBLP database of 07/2017 was used for mining. Additionally, the openly available scientometric datasets are introduced as a good alternative to commercial datasets of comparable size for public research in behavioral sciences.

Suggested Citation

  • Tagiew, Rustam & Ignatov, Dmitry I., 2017. "Behavior Mining in h-index Ranking Game," MPRA Paper 82795, University Library of Munich, Germany.
  • Handle: RePEc:pra:mprapa:82795

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    References listed on IDEAS

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    More about this item


    h-index; scientometrics; behavior mining; behavioral game theory; experimental economics; data science; social networks; research funding; R&D budget; innovation management;
    All these keywords.

    JEL classification:

    • C10 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - General
    • C4 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods: Special Topics
    • C55 - Mathematical and Quantitative Methods - - Econometric Modeling - - - Large Data Sets: Modeling and Analysis
    • C72 - Mathematical and Quantitative Methods - - Game Theory and Bargaining Theory - - - Noncooperative Games
    • D78 - Microeconomics - - Analysis of Collective Decision-Making - - - Positive Analysis of Policy Formulation and Implementation

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