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Percolation as a Model for Informetric Distributions: Fragment Size Distribution Characterised by Bradford Curves

Author

Listed:
  • Jan Bogaert

    (University of Antwerp (UIA))

  • Ronald Rousseau

    (KHBO, Zeedijk Oostende, and UIA)

  • Piet Van Hecke

    (University of Antwerp (UIA))

Abstract

It is shown how Bradford curves, i.e. cumulative rank-frequency functions, as used in informetrics, can describe the fragment size distribution of percolation models. This interesting fact is explained by arguing that some aspects of percolation can be interpreted as a model for the success-breeds-success or cumulative advantage phenomenon. We claim, moreover, that the percolation model can be used as a model to study (generalised) bibliographies. This article shows how ideas and techniques studied and developed in informetrics and scientometrics can successfully be applied in other fields of science, and vice versa.

Suggested Citation

  • Jan Bogaert & Ronald Rousseau & Piet Van Hecke, 2000. "Percolation as a Model for Informetric Distributions: Fragment Size Distribution Characterised by Bradford Curves," Scientometrics, Springer;Akadémiai Kiadó, vol. 47(2), pages 195-206, February.
    • Handle: RePEc:spr:scient:v:47:y:2000:i:2:d:10.1023_a:1005678707987
    DOI: 10.1023/A:1005678707987
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    References listed on IDEAS

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    1. Derek De Solla Price, 1976. "A general theory of bibliometric and other cumulative advantage processes," Journal of the American Society for Information Science, Association for Information Science & Technology, vol. 27(5), pages 292-306, September.
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    Cited by:

    1. Anthony F. J. van Raan, 2021. "Sleeping beauties gain impact in overdrive mode," Scientometrics, Springer;Akadémiai Kiadó, vol. 126(5), pages 4311-4332, May.
    2. Hildrun Kretschmer, 2004. "Author productivity and geodesic distance in bibliographic co-authorship networks, and visibility on the Web," Scientometrics, Springer;Akadémiai Kiadó, vol. 60(3), pages 409-420, August.

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