Lotka' s Law, Co-authorship and Interdisciplinary Publishing

Larsen, P.O. and von Ins, M. Lotka' s Law, Co-authorship and Interdisciplinary Publishing., 2008 . In Fourth International Conference on Webometrics, Informetrics and Scientometrics & Ninth COLLNET Meeting, Humboldt-Universität zu Berlin, Institute for Library and Information Science (IBI), Berlin, July 28th - August 1st 2008. [Conference paper]

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English abstract

The robustness or breakdown of Lotka's law about the frequency distribution of scientific productivity depends on scientific cooperation, counting methods, interdisciplinary publishing and selection methods for sample collections. We have chosen to analyse the relationship using Mandelbrot's equivalent distribution model because this model is sensitive and uses the original data (scores). Five sets of authors and publications, the two sets used by Lotka, a set from High Energy Physics, a set from Microbiology and a set based on applicants to a research programme promoting young researchers have been used. It is shown that even for a sample of authors in High-Energy Physics with extremely strong co-authorship, Mandelbrot's distribution law is robust when complete-normalized (fractional) counting is used whereas complete counting results in a breakdown. In the field of Microbiology with much weaker cooperation, both counting methods result in a breakdown of Mandelbrot's law. Today a field like Microbiology with the corresponding set of journals, probably has a large content of interdisciplinary publishing and therefore no more fulfills the precondition of Lotka's law, that the total production of the authors (sources) is considered. For a set of applicants for the Emmy Noether Programme of the German Research Foundation. Mandelbrot's law breaks down despite the fact that all publications co-authored by the applicants are taken into account. In agreement with Bayes' theorem of conditional probabilities these results lead to the conjecture that any selection process of authors and/or publications causes a breakdown of Mandelbrot's law and, as a consequence Lotka's law.

Item type: Conference paper
Keywords: Lotka´s law, interdisciplinarity, co-authorship, counting methods, conditional distributions
Subjects: B. Information use and sociology of information. > BB. Bibliometric methods.
B. Information use and sociology of information.
Depositing user: Markus von Ins
Date deposited: 20 Sep 2008
Last modified: 14 Dec 2012 21:12
URI: http://hdl.handle.net/10760/12309

References

"SEEK" links will first look for possible matches inside E-LIS and query Google Scholar if no results are found.

Achard et al., P. (2006). Measurement of hadron and lepton-pair production in e(+)e(-) collisions at root s = 192-208 GeV at LEP. European Physical Journal C 47 (1), 1-19.

Auerbach, F. (1910). Geschichtstafeln der Physik. Barth, Leipzig.

Bino, P., S. Subash, and A. Ramanathan (2005). Concentration in knowledge output: A case of economics journals. European Journal of Comparative Economics 2 (2), 261-279.

Böhmer, S. and S. Hornbostel (2008). Postdocs in Deutschland: Evaluation des Emmy Noether-Programms, Volume No. 3 of iFQ Working Paper. Institut für Forschungsinformation und Qualitätssicherung (iFQ), Bonn.

Egghe, L. and R. Rousseau (1990). Introduction to Informetrics - Quantitative Methods in Library, Documentation and Information Science. Elsevier Science Publishers, Amsterdam.

Gauffriau, M., P. Larsen, I. Maye, A. Roulin Perriard, and M. von Ins (2007). Publication, cooperation and productivity measures in scientific research. Scientometrics 73 (2), 175-214.

Hornbostel, S., S. Böhmer, B. Klingsporn, J. Neufeld, and M. von Ins (2008). Funding of young scientist and scientific excellence. Special Issue of Scientometrics from the 11th International Conference of the International Society for Scientometrics and Informetrics Madrid 2007. (to be published).

Kretschmer, H. and R. Rousseau (2001). Author inflation leads to a breakdown of Lotka's law. Journal of the American Society for Information Science and Technology 52 (8), 610-614.

Lotka, A. (1926). The frequency distribution of scientific productivity. Journal of the Washington Academy of Sciences 16 (12), 317-323.

Price, D. d. S. (1963). Little Science, Big Science. Columbia University Press, New York.

Price, D. d. S. (1976). A general theory of bibliometric and other cumulative advantage processes. Journal of the American Society for Information Science 27 (5), 292-306.

Rao, I., B. Sahoo, and L. Egghe (2003). A distribution of papers based on the fractional counting: an empirical study. In Guohua J. (Ed.), Proceedings of the Ninth International Conference on Scientometrics and Informetrics, pp. 241-250. Dalian University of Technology Press, Beijing.

Rousseau, R. (1988). Citation distribution of pure mathematics journals. In L. Egghe and R. Rousseau (Ed.), Informetrics 87/88, pp. 249-262. Elsevier, Amsterdam.

Rousseau, R. (1990). Relations between continuous versions of bibliometric laws. Journal of the American Society for Information Science and Technology 41, 197-203.

Rousseau, R. (1992). Breakdown of the robustness property of Lotka's law: The case of adjusted counts for multiauthorship attribution. Journal of the American Society for Information Science and Technology 42, 645-647.


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