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Indicators of structural change in the dynamics of science: Entropy statistics of the SCI Journal Citation Reports

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  • Loet Leydesdorff

    (Amsterdam School of Communications Research (ASCoR))

Abstract

Can change in citation patterns among journals be used as an indicator of structural change in the organization of the sciences? Aggregated journal-journal citations for 1999 are compared with similar data in the Journal Citation Reports1998 of the Science Citation Index. In addition to indicating local change, probabilistic entropy measures enable us to analyze changes in distributions at different levels of aggregation. The results of various statistics are discussed and compared by elaborating the journal-journal mappings. The relevance of this indicator for science and technology policies is further specified

Suggested Citation

  • Loet Leydesdorff, 2002. "Indicators of structural change in the dynamics of science: Entropy statistics of the SCI Journal Citation Reports," Scientometrics, Springer;Akadémiai Kiadó, vol. 53(1), pages 131-159, January.
    • Handle: RePEc:spr:scient:v:53:y:2002:i:1:d:10.1023_a:1014892106059
    DOI: 10.1023/A:1014892106059
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    1. Moed, H. F. & Burger, W. J. M. & Frankfort, J. G. & Van Raan, A. F. J., 1985. "The use of bibliometric data for the measurement of university research performance," Research Policy, Elsevier, vol. 14(3), pages 131-149, June.
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    Cited by:

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    6. Yi Zhang & Yue Qian & Ying Huang & Ying Guo & Guangquan Zhang & Jie Lu, 2017. "An entropy-based indicator system for measuring the potential of patents in technological innovation: rejecting moderation," Scientometrics, Springer;Akadémiai Kiadó, vol. 111(3), pages 1925-1946, June.
    7. Pedro Cosme Vieira & Aurora A. C. Teixeira, 2010. "Are finance, management, and marketing autonomous fields of scientific research? An analysis based on journal citations," Scientometrics, Springer;Akadémiai Kiadó, vol. 85(3), pages 627-646, December.
    8. Nazim Choudhury & Shahadat Uddin, 2016. "Time-aware link prediction to explore network effects on temporal knowledge evolution," Scientometrics, Springer;Akadémiai Kiadó, vol. 108(2), pages 745-776, August.

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