Consensuality of Peer Nominations Among Scientists
KnowledgePublished 1 December 1982Open access
A. Blaivas, Robert C. Brumbaugh, R. Crickman, Manfred Kochen
Citations6
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Abstract
Peer Reviewed
Keywords
Decision SciencesArts and Humanities
Journal of the American Society for Information ScienceA general theory of bibliometric and other cumulative advantage processes
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It is shown that such a stochastic law is governed by the Beta Function, containing only one free parameter, and this is approximated by a skew or hyperbolic distribution of the type that is widespread in bibliometrics and diverse social science phenomena.
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The distribution of such nominations is very skew, and it is found that the law of cumulative advantage provides the best theoretical approximation for the distribution of nominations, expecially when the overall pool of data is broken down into well-defined specialties.
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It would take many rounds before every expert in a specialty is nominated, and the simulation considered the effect of specialty subdivisions and showed how the distribution changes as the sample increases.
