IDEAS home Printed from https://ideas.repec.org/a/bla/jamest/v41y1990i5p368-375.html
   My bibliography  Save this article

Informetric distributions, part I: Unified overview

Author

Listed:
  • A. Bookstein

Abstract

This article is the first of a two‐part series on the informetric distributions, a family of regularities found to describe a wide range of phenomena both within and outside of the information sciences. This article introduces the basic forms these regularities take. A model is proposed that makes plausible the possibility that, in spite of marked differences in their appearance, these distributions are variants of a single distribution; heuristic arguments are then given that this is indeed the case. That a single distribution should describe such a wide range of phenomena, often in areas where the existence of any simple description is surprising, suggests that one should look for explanations not in terms of causal models, but in terms of the properties of the single informetric distribution. Some of the consequences of this conclusion are broached in this article, and explored more carefully in Part II. © 1990 John Wiley & Sons, Inc.

Suggested Citation

  • A. Bookstein, 1990. "Informetric distributions, part I: Unified overview," Journal of the American Society for Information Science, Association for Information Science & Technology, vol. 41(5), pages 368-375, July.
    • Handle: RePEc:bla:jamest:v:41:y:1990:i:5:p:368-375
    DOI: 10.1002/(SICI)1097-4571(199007)41:53.0.CO;2-C
    as

    Download full text from publisher

    File URL: https://doi.org/10.1002/(SICI)1097-4571(199007)41:53.0.CO;2-C
    Download Restriction: no
    File URL: https://libkey.io/10.1002/(SICI)1097-4571(199007)41:53.0.CO;2-C?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Dimosthenis Kifokeris & Yiannis Xenidis, 2021. "Game Theory-Based Minimization of the Ostracism Risk in Construction Companies," Sustainability, MDPI, vol. 13(12), pages 1-20, June.
    2. Heinrich Behrens & Peter Luksch, 2011. "Mathematics 1868–2008: a bibliometric analysis," Scientometrics, Springer;Akadémiai Kiadó, vol. 86(1), pages 179-194, January.
    3. Dirk Lewandowski, 2015. "Evaluating the retrieval effectiveness of web search engines using a representative query sample," Journal of the Association for Information Science & Technology, Association for Information Science & Technology, vol. 66(9), pages 1763-1775, September.

    More about this item

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:bla:jamest:v:41:y:1990:i:5:p:368-375. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    We have no bibliographic references for this item. You can help adding them by using this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Wiley Content Delivery (email available below). General contact details of provider: http://www.asis.org .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.