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Statistics for the dynamic analysis of scientometric data: the evolution of the sciences in terms of trajectories and regimes

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  • Loet Leydesdorff

    (Amsterdam School of Communication Research (ASCoR))

Abstract

The gap in statistics between multi-variate and time-series analysis can be bridged by using entropy statistics and recent developments in multi-dimensional scaling. For explaining the evolution of the sciences as non-linear dynamics, the configurations among variables can be important in addition to the statistics of individual variables and trend lines. Animations enable us to combine multiple perspectives (based on configurations of variables) and to visualize path-dependencies in terms of trajectories and regimes. Path-dependent transitions and systems formation can be tested using entropy statistics.

Suggested Citation

  • Loet Leydesdorff, 2013. "Statistics for the dynamic analysis of scientometric data: the evolution of the sciences in terms of trajectories and regimes," Scientometrics, Springer;Akadémiai Kiadó, vol. 96(3), pages 731-741, September.
    • Handle: RePEc:spr:scient:v:96:y:2013:i:3:d:10.1007_s11192-012-0917-0
    DOI: 10.1007/s11192-012-0917-0
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    References listed on IDEAS

    as
    1. Loet Leydesdorff & Lutz Bornmann & Rüdiger Mutz & Tobias Opthof, 2011. "Turning the tables on citation analysis one more time: Principles for comparing sets of documents," Journal of the Association for Information Science & Technology, Association for Information Science & Technology, vol. 62(7), pages 1370-1381, July.
    2. Zvi Griliches, 1998. "Productivity, R&D, and the Data Constraint," NBER Chapters, in: R&D and Productivity: The Econometric Evidence, pages 347-374, National Bureau of Economic Research, Inc.
    3. E. C. M. Noyons & A. F. J. van Raan, 1998. "Monitoring scientific developments from a dynamic perspective: Self‐organized structuring to map neural network research," Journal of the American Society for Information Science, Association for Information Science & Technology, vol. 49(1), pages 68-81.
    4. Loet Leydesdorff, 2011. "“Structuration” by intellectual organization: the configuration of knowledge in relations among structural components in networks of science," Scientometrics, Springer;Akadémiai Kiadó, vol. 88(2), pages 499-520, August.
    5. von Hippel, Eric, 1976. "The dominant role of users in the scientific instrument innovation process," Research Policy, Elsevier, vol. 5(3), pages 212-239, July.
    6. Chaomei Chen, 2006. "CiteSpace II: Detecting and visualizing emerging trends and transient patterns in scientific literature," Journal of the American Society for Information Science and Technology, Association for Information Science & Technology, vol. 57(3), pages 359-377, February.
    7. Arthur, W Brian, 1989. "Competing Technologies, Increasing Returns, and Lock-In by Historical Events," Economic Journal, Royal Economic Society, vol. 99(394), pages 116-131, March.
    8. Richard Klavans & Kevin W. Boyack, 2011. "Using global mapping to create more accurate document-level maps of research fields," Journal of the Association for Information Science & Technology, Association for Information Science & Technology, vol. 62(1), pages 1-18, January.
    9. Loet Leydesdorff & Daniele Rotolo & Ismael Rafols, 2012. "Bibliometric perspectives on medical innovation using the medical subject Headings of PubMed," Journal of the American Society for Information Science and Technology, Association for Information Science & Technology, vol. 63(11), pages 2239-2253, November.
    10. David, Paul A, 1985. "Clio and the Economics of QWERTY," American Economic Review, American Economic Association, vol. 75(2), pages 332-337, May.
    11. Loet Leydesdorff, 2003. "The mutual information of university-industry-government relations: An indicator of the Triple Helix dynamics," Scientometrics, Springer;Akadémiai Kiadó, vol. 58(2), pages 445-467, October.
    12. Loet Leydesdorff, 2010. "The communication of meaning and the structuration of expectations: Giddens' “structuration theory” and Luhmann's “self‐organization”," Journal of the American Society for Information Science and Technology, Association for Information Science & Technology, vol. 61(10), pages 2138-2150, October.
    13. Nees Jan Eck & Ludo Waltman, 2010. "Software survey: VOSviewer, a computer program for bibliometric mapping," Scientometrics, Springer;Akadémiai Kiadó, vol. 84(2), pages 523-538, August.
    14. Leydesdorff, Loet & Cozzens, Susan & Van den Besselaar, Peter, 1994. "Tracking areas of strategic importance using scientometric journal mappings," Research Policy, Elsevier, vol. 23(2), pages 217-229, March.
    15. Loet Leydesdorff, 2000. "Is the European Union Becoming a Single Publication System?," Scientometrics, Springer;Akadémiai Kiadó, vol. 47(2), pages 265-280, February.
    16. Per O. Seglen, 1992. "The skewness of science," Journal of the American Society for Information Science, Association for Information Science & Technology, vol. 43(9), pages 628-638, October.
    17. Malerba, Franco, et al, 1999. "'History-Friendly' Models of Industry Evolution: The Computer Industry," Industrial and Corporate Change, Oxford University Press and the Associazione ICC, vol. 8(1), pages 3-40, March.
    18. Balazs Lengyel & Loet Leydesdorff, 2011. "Regional Innovation Systems in Hungary: The Failing Synergy at the National Level," Regional Studies, Taylor & Francis Journals, vol. 45(5), pages 677-693.
    19. Richard Klavans & Kevin W. Boyack, 2011. "Using global mapping to create more accurate document‐level maps of research fields," Journal of the American Society for Information Science and Technology, Association for Information Science & Technology, vol. 62(1), pages 1-18, January.
    20. Leydesdorff, Loet & Rafols, Ismael, 2012. "Interactive overlays: A new method for generating global journal maps from Web-of-Science data," Journal of Informetrics, Elsevier, vol. 6(2), pages 318-332.
    21. Park, Han Woo & Leydesdorff, Loet, 2010. "Longitudinal trends in networks of university-industry-government relations in South Korea: The role of programmatic incentives," Research Policy, Elsevier, vol. 39(5), pages 640-649, June.
    22. J. Kruskal, 1964. "Multidimensional scaling by optimizing goodness of fit to a nonmetric hypothesis," Psychometrika, Springer;The Psychometric Society, vol. 29(1), pages 1-27, March.
    23. Loet Leydesdorff & Thomas Schank, 2008. "Dynamic animations of journal maps: Indicators of structural changes and interdisciplinary developments," Journal of the American Society for Information Science and Technology, Association for Information Science & Technology, vol. 59(11), pages 1810-1818, September.
    24. Loet Leydesdorff, 1997. "Why words and co‐words cannot map the development of the sciences," Journal of the American Society for Information Science, Association for Information Science & Technology, vol. 48(5), pages 418-427, May.
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    Cited by:

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    2. Sonia E. Monroy & Hernando Diaz, 2018. "Time series-based bibliometric analysis of the dynamics of scientific production," Scientometrics, Springer;Akadémiai Kiadó, vol. 115(3), pages 1139-1159, June.
    3. Maria Karaulova & Abdullah Gök & Oliver Shackleton & Philip Shapira, 2016. "Science system path-dependencies and their influences: nanotechnology research in Russia," Scientometrics, Springer;Akadémiai Kiadó, vol. 107(2), pages 645-670, May.

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