Behavior Mining in h-index Ranking Game
Rustam Tagiew and
Dmitry Ignatov ()
MPRA Paper from University Library of Munich, Germany
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.
Keywords: h-index; scientometrics; behavior mining; behavioral game theory; experimental economics; data science; social networks; research funding; R&D budget; innovation management (search for similar items in EconPapers)
JEL-codes: C10 C4 C55 C72 D78 (search for similar items in EconPapers)
New Economics Papers: this item is included in nep-gth
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Published in CEUR Workshop Proceeding Experimental Economics and Machine Learning.1968(2017): pp. 52-61
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Persistent link: https://EconPapers.repec.org/RePEc:pra:mprapa:82795
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