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Informetric distributions, part II: Resilience to ambiguity

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  • A. Bookstein

Abstract

This article continues the discussion of the informetric distributions begun in a companion paper. In the earlier paper, the informetric distributions were introduced and found to be variants of a single distribution. It was suggested that this might be explained in terms of that distribution being unusually resilient to ambiguity. In this paper the notion of resilience to ambiguity is made precise. By way of introduction, a number of simple examples of resilience, taken from the social sciences, are discussed. This approach is then applied to the informetric distributions themselves. It is argued that the form taken by the informetric regularities does indeed make them insensitive to the wide range of ambiguities that occur when measuring the output of social activity, and that this ubiquitous form is unusual in having this property. © 1990 John Wiley & Sons, Inc.

Suggested Citation

  • A. Bookstein, 1990. "Informetric distributions, part II: Resilience to ambiguity," Journal of the American Society for Information Science, Association for Information Science & Technology, vol. 41(5), pages 376-386, July.
    • Handle: RePEc:bla:jamest:v:41:y:1990:i:5:p:376-386
    DOI: 10.1002/(SICI)1097-4571(199007)41:53.0.CO;2-E
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    Cited by:

    1. Concepción S. Wilson, 1999. "Using online databases to form subject collections for informetric analyses," Scientometrics, Springer;Akadémiai Kiadó, vol. 46(3), pages 647-667, November.
    2. Michel Zitt & Suzy Ramanana-Rahary & Elise Bassecoulard, 2003. "Correcting glasses help fair comparisons in international science landscape: Country indicators as a function of ISI database delineation," Scientometrics, Springer;Akadémiai Kiadó, vol. 56(2), pages 259-282, February.
    3. Rafael Bailón-Moreno & Encarnación Jurado-Alameda & Rosario Ruiz-Baños & Jean Pierre Courtial & Evaristo Jiménez-Contreras, 2007. "The pulsing structure of science: Ortega y Gasset, Saint Matthew, fractality and transfractality," Scientometrics, Springer;Akadémiai Kiadó, vol. 71(1), pages 3-24, April.
    4. David L. Alderson, 2008. "OR FORUM---Catching the “Network Science” Bug: Insight and Opportunity for the Operations Researcher," Operations Research, INFORMS, vol. 56(5), pages 1047-1065, October.

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