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Knowledge emergence in scientific communication: from “fullerenes” to “nanotubes”

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  • Diana Lucio-Arias

    (University of Amsterdam)

  • Loet Leydesdorff

    (University of Amsterdam)

Abstract

This article explores the emergence of knowledge from scientific discoveries and their effects on the structure of scientific communication. Network analysis is applied to understand this emergence institutionally as changes in the journals; semantically as changes in the codification of meaning in terms of words; and cognitively as the new knowledge becomes the emergent foundation of further developments. The discovery of fullerenes in 1985 is analyzed as the scientific discovery that triggered a process which led to research in nanotubes.

Suggested Citation

  • Diana Lucio-Arias & Loet Leydesdorff, 2007. "Knowledge emergence in scientific communication: from “fullerenes” to “nanotubes”," Scientometrics, Springer;Akadémiai Kiadó, vol. 70(3), pages 603-632, March.
    • Handle: RePEc:spr:scient:v:70:y:2007:i:3:d:10.1007_s11192-007-0304-4
    DOI: 10.1007/s11192-007-0304-4
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    References listed on IDEAS

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    1. 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.
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    3. Joachim Schummer, 2004. "Multidisciplinarity, interdisciplinarity, and patterns of research collaboration in nanoscience and nanotechnology," Scientometrics, Springer;Akadémiai Kiadó, vol. 59(3), pages 425-465, March.
    4. 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.
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    Cited by:

    1. Ion Georgiou & Joaquim Heck, 2021. "The emergence of problem structuring methods, 1950s–1989: An atlas of the journal literature," Systems Research and Behavioral Science, Wiley Blackwell, vol. 38(6), pages 756-796, November.
    2. Ruimin Ma & Erjia Yan, 2016. "Uncovering inter-specialty knowledge communication using author citation networks," Scientometrics, Springer;Akadémiai Kiadó, vol. 109(2), pages 839-854, November.
    3. Ismael Rafols & Alan Porter & Loet Leydesdorff, 2009. "Overlay Maps of Science: a New Tool for Research Policy," SPRU Working Paper Series 179, SPRU - Science Policy Research Unit, University of Sussex Business School.
    4. Hanning Guo & Scott Weingart & Katy Börner, 2011. "Mixed-indicators model for identifying emerging research areas," Scientometrics, Springer;Akadémiai Kiadó, vol. 89(1), pages 421-435, October.
    5. Tancoigne, Elise & Barbier, Marc & Cointet, Jean-Philippe & Richard, Guy, 2014. "The place of agricultural sciences in the literature on ecosystem services," Ecosystem Services, Elsevier, vol. 10(C), pages 35-48.
    6. Ehsan Mohammadi, 2012. "Knowledge mapping of the Iranian nanoscience and technology: a text mining approach," Scientometrics, Springer;Akadémiai Kiadó, vol. 92(3), pages 593-608, September.

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