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Rising tail in Bradford distribution: Its interpretation and application

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Abstract

The right tail of the Bradford distribution has been considered to be straight or drooping. This paper reports cases in which the right tail is rising upward, explains and verifies conditions of its occurrences, interpretes it and proposes its application to evaluation and forecasting of technological development at the basic research stage.

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References

  1. W. O. AIYEPEKU, The Bradford distribution theory: The compounding of Bradford periodical literatures in geography.Journal of Documentation, 33 (1977) 210.

    Google Scholar 

  2. I. ASAI, A general formulation of Bradford's distribution: The graph-oriented approach,Journal of the American Society for Information Science, 32 (1981) 113.

    Google Scholar 

  3. J. R. BRIGHT (Ed.),Technological Forecasting for Industry and Government: Methods and Applications, Prentice Hall, Englewood Cliffs 1968.

    Google Scholar 

  4. B. C. BROOKES, The derivation and application of the Bradford-Zipf distribution,Journal of Documentation, 24 (1968) 247.

    Google Scholar 

  5. B. C. BROOKES, The complete Bradford-Zipf ‘Bibliograph’,Journal of Documentation, 25 (1969) 58.

    Google Scholar 

  6. B. C. BROOKES, Bradford's law and bibliography of science,Nature, 224 (1969) 953.

    Google Scholar 

  7. B. C. BROOKES, Optimum p% library of scientific periodicals,Nature, 232 (1971) 458.

    Google Scholar 

  8. B. C. BROOKES, Numerical methods of bibliographic analysis,Library Trends, (July 1973) 18.

  9. B. C. BROOKES, The Bradford law: A new calculus for the social sciences?Journal of the American Society for Information Science, 30 (1979) 233.

    Google Scholar 

  10. B. C. BROOKES, A critical commentary on Leimkuhler's ‘exact’ formulation of the Bradford law,Journal of Documentation, 37 (1981) 77.

    Google Scholar 

  11. M. K. BUCKLAND, Are obsolescence and scattering related?,Journal of Documentation, 28 (1972) 242.

    Google Scholar 

  12. Y. S. CHEN, F. F. LEIMKUHLER, Bradford's law: An index approach,Scientometrics, 11 (1987) 183.

    Google Scholar 

  13. D. de SOLA PRICE, Networks of scientific papers,Science, 149 (1965) 510.

    Google Scholar 

  14. D. de SOLA PRICE, A general theory of bibliometric and other cumulative advantage processes,Journal of the American Society for Information Science, 27 (1976) 292.

    Google Scholar 

  15. M. C. DROTT, Bradford's law: Theory, empiricism and the gap between,Library Trends, (Summer 1981) 41.

  16. M. C. DROTT, B. C. GRIFFTH, An empirical examination of Bradford's law and the scattering of scientific literature,Journal of the American Society for Information Science, 29 (1978) 238.

    Google Scholar 

  17. L. EGGHE, Consequences of Lotka's law for the law of Bradford,Journal of Documentation, 41 (1985) 173.

    Google Scholar 

  18. F. J. ELVIN, Bradford's law,Journal of Documentation, 34 (1978) 246.

    Google Scholar 

  19. H. ETO, Bradford law for R&D expending of firms and R&D concentration,Scientometrics, 6 (1984) 183.

    Google Scholar 

  20. H. ETO, P. M. CANDELARIA, Applicability of the Bradford distribution to international science and technology indicators,Scientometrics, 11 (1987) 27.

    Google Scholar 

  21. H. ETO, M. FUJITA, Regularities in the growth of high technological industries in regions,Discussion Paper No. 331 (1987), The University of Tsukuba, Institute of Socio-Economic Planning.

  22. H. ETO, K. MAKINO, Stochastic model for innovation and resulting skew distribution for technological concentration with verification in Japanese industry,Scientometrics, 5 (1983) 219.

    Google Scholar 

  23. H. ETO, K. MAKINO, Theoretical and empirical analysis of the differentiation process in the technology gap between developed and developing nations, in: W. ISARD, Y. NAGAO (Eds),International and Regional Conflict: Analytic Approaches, Chapter 9, Ballinger, Cambridge, Mass., 1983, pp. 149–159.

    Google Scholar 

  24. E. J. GUMBEL,Statistics of Extremes, Columbia University Press, New York, 1958.

    Google Scholar 

  25. W. GOFFMAN, T. G. MORRIS, Bradford's law and library acquisitions,Nature, 226 (1970) 922.

    Google Scholar 

  26. S. D. HAITUN, Stationary scientometric distributions, Part II. Non-Gaussian nature of scientific activities,Scientometrics, 4 (1982) 89.

    Google Scholar 

  27. S. D. HAITUN, Stationary scientometric distributions, Part III. The role of the Zipf distribution,Scientometrics, 4 (1982) 181.

    Google Scholar 

  28. M. R. HALPERIN, A. K. CHAKRABARTI, Firm and industry characteristics influencing publications of scientists in large American companies,R&D Management, 17 (1987) 167.

    Google Scholar 

  29. D. HICKS, B. R. MARTIN, J. IRVINE, Bibliometric techniques for monitoring performance in technologically oriented research; The case of integrated optics,R&D Management, 16 (1986) 211.

    Google Scholar 

  30. J. B. HOMER, A Diffusion model with application to evolving medical technologies,Technological Forecasting and Social Change, 31 (1987) 197.

    Google Scholar 

  31. Y. IJIRI, H. A. SIMON,Skew Distributions and the Sizes of Business Firms, North-Holland, Amsterdam, 1977.

    Google Scholar 

  32. H. JONES, B. C. TWISS,Forecasting Technology for Planning Decisions, Macmillan, London, 1978.

    Google Scholar 

  33. N. C. L. KARMESHU, Y. CANO, Rationales for Bradford's law,Scientometrics, 6 (1984) 233.

    Google Scholar 

  34. M. G. KENDALL, The bibliography of operational research,Operational Research Quarterly, 11 (1960) 31.

    Google Scholar 

  35. F. F. LEIMKUHLER, The Bradford distribution,Journal of Documentation, 23 (1967) 197.

    Google Scholar 

  36. Y. MAHAJAN, Y. WIND (Eds),Innovation Diffusion Models of New Product Acceptance, Ballinger, Cambridge, Mass., 1986.

    Google Scholar 

  37. M. J. F. MAIA, M. D. MAIA, On the unity of Bradford's law,Journal of Documentation, 40 (1984) 206.

    Google Scholar 

  38. J. P. MARTINO,Technological Forecasting for Decision Making, North-Holland, Amsterdam, 1983.

    Google Scholar 

  39. H. F. MOED, W. J. M. BURGER, J. G. FRANKFORT, A. F. J. van RAAN, The use of bibliometric data for the measurement of university research performance,Research Policy, 14 (1985) 131.

    Google Scholar 

  40. P. M. MORSE, Implications of the exact Bradford distribution,Journal of the American Society for Information Science, 32 (1981) 43.

    Google Scholar 

  41. P. M. MORSE, F. F. LEIMKUHLER, Exact solution for the Bradford distribution and its use in modeling informational data,Operations Research, 27 (1979) 187.

    Google Scholar 

  42. P. PRAUNLICH, M. KROLL, Bradford's distribution: A new formulation,Journal of the American Society for Information Science, 29 (1978) 51.

    Google Scholar 

  43. P. STECK, J. S. G. COX, F. W. HAGEMEYER, Literature indexing systems for corporate strategy: A case-study in the pharmaceutical industry,R&D Management, 11 (1981) 97.

    Google Scholar 

  44. E. G. SUMMERS, Bradford's law and the retrieval of reading research journal literature,Reading Research Quarterly, XIX/I (Fall 1983) 103.

    Google Scholar 

  45. E. A. WILKINSON, The ambiguity of Bradford's law,Journal of Documentation, 28 (1972) 122.

    Google Scholar 

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Eto, H. Rising tail in Bradford distribution: Its interpretation and application. Scientometrics 13, 271–287 (1988). https://doi.org/10.1007/BF02019963

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  • DOI: https://doi.org/10.1007/BF02019963

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