Reputation or peer review? The role of outliers

Scientometrics
Francisco GrimaldoJordi Sabater-Mir

Abstract

We present an agent-based model of paper publication and consumption that allows to study the effect of two different evaluation mechanisms, peer review and reputation, on the quality of the manuscripts accessed by a scientific community. The model was empirically calibrated on two data sets, mono- and multi-disciplinary. Our results point out that disciplinary settings differ in the rapidity with which they deal with extreme events-papers that have an extremely high quality, that we call outliers. In the mono-disciplinary case, reputation is better than traditional peer review to optimize the quality of papers read by researchers. In the multi-disciplinary case, if the quality landscape is relatively flat, a reputation system also performs better. In the presence of outliers, peer review is more effective. Our simulation suggests that a reputation system could perform better than peer review as a scientific information filter for quality except when research is multi-disciplinary and in a field where outliers exist.

References

Feb 21, 2004·Proceedings of the National Academy of Sciences of the United States of America·Katy BörnerRobert L Goldstone
May 16, 2014·Scientometrics·Mario Paolucci, Francisco Grimaldo
Nov 19, 2015·Frontiers in Psychology·Stephen J Cowley
Oct 24, 2017·Scientometrics·Simone Righi, Károly Takács
Oct 24, 2017·Scientometrics·Emre SarigölFrank Schweitzer
Dec 9, 2017·F1000Research·Jonathan P TennantJulien Colomb

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Citations

Oct 1, 2019·Scientometrics·Thomas FelicianiKalpana Shankar

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Software Mentioned

JAAMAS
Scopus

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