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“Structuration” by intellectual organization: the configuration of knowledge in relations among structural components in networks of science

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  • Loet Leydesdorff

    (University of Amsterdam)

Abstract

Using aggregated journal–journal citation networks, the measurement of the knowledge base in empirical systems is factor-analyzed in two cases of interdisciplinary developments during the period 1995–2005: (i) the development of nanotechnology in the natural sciences and (ii) the development of communication studies as an interdiscipline between social psychology and political science. The results are compared with a case of stable development: the citation networks of core journals in chemistry. These citation networks are intellectually organized by networks of expectations in the knowledge base at the specialty (that is, above-journal) level. The “structuration” of structural components (over time) can be measured as configurational information. The latter is compared with the Shannon-type information generated in the interactions among structural components: the difference between these two measures provides us with a measure for the redundancy generated by the specification of a model in the knowledge base of the system. This knowledge base incurs (against the entropy law) to variable extents on the knowledge infrastructures provided by the observable networks of relations.

Suggested Citation

  • 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.
    • Handle: RePEc:spr:scient:v:88:y:2011:i:2:d:10.1007_s11192-011-0397-7
    DOI: 10.1007/s11192-011-0397-7
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    References listed on IDEAS

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    1. William McGill, 1954. "Multivariate information transmission," Psychometrika, Springer;The Psychometric Society, vol. 19(2), pages 97-116, June.
    2. Yuan Sun & Masamitsu Negishi, 2010. "Measuring the relationships among university, industry and other sectors in Japan’s national innovation system: a comparison of new approaches with mutual information indicators," Scientometrics, Springer;Akadémiai Kiadó, vol. 82(3), pages 677-685, March.
    3. Dosi, Giovanni, 1993. "Technological paradigms and technological trajectories : A suggested interpretation of the determinants and directions of technical change," Research Policy, Elsevier, vol. 22(2), pages 102-103, April.
    4. 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.
    5. Loet Leydesdorff & Stephen Bensman, 2006. "Classification and powerlaws: The logarithmic transformation," Journal of the American Society for Information Science and Technology, Association for Information Science & Technology, vol. 57(11), pages 1470-1486, September.
    6. Ismael Rafols & Loet Leydesdorff, 2009. "Content‐based and algorithmic classifications of journals: Perspectives on the dynamics of scientific communication and indexer effects," Journal of the American Society for Information Science and Technology, Association for Information Science & Technology, vol. 60(9), pages 1823-1835, September.
    7. Leo Egghe & Loet Leydesdorff, 2009. "The relation between Pearson's correlation coefficient r and Salton's cosine measure," Journal of the American Society for Information Science and Technology, Association for Information Science & Technology, vol. 60(5), pages 1027-1036, May.
    8. Loet Leydesdorff & Yuan Sun, 2009. "National and international dimensions of the Triple Helix in Japan: University–industry–government versus international coauthorship relations," Journal of the American Society for Information Science and Technology, Association for Information Science & Technology, vol. 60(4), pages 778-788, April.
    9. Yuan Sun & Masamitsu Negishi & Masaki Nishizawa, 2007. "Coauthorship linkages between universities and industry in Japan," Research Evaluation, Oxford University Press, vol. 16(4), pages 299-309, December.
    10. W. Garner & William McGill, 1956. "The relation between information and variance analyses," Psychometrika, Springer;The Psychometric Society, vol. 21(3), pages 219-228, September.
    11. Loet Leydesdorff & Carole Probst, 2009. "The delineation of an interdisciplinary specialty in terms of a journal set: The case of communication studies," Journal of the American Society for Information Science and Technology, Association for Information Science & Technology, vol. 60(8), pages 1709-1718, August.
    12. Lucio-Arias, Diana & Leydesdorff, Loet, 2009. "The dynamics of exchanges and references among scientific texts, and the autopoiesis of discursive knowledge," Journal of Informetrics, Elsevier, vol. 3(3), pages 261-271.
    13. 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.
    14. Loet Leydesdorff & Wilfred Dolfsma & Gerben Van der Panne, 2010. "Measuring the Knowledge Base of an Economy in Terms of Triple-Helix Relations," Chapters, in: Riccardo Viale & Henry Etzkowitz (ed.), The Capitalization of Knowledge, chapter 11, Edward Elgar Publishing.
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    Cited by:

    1. Xiaojun Hu & Xian Li & Ronald Rousseau, 2021. "Mathematical reflections on Triple Helix calculations," Scientometrics, Springer;Akadémiai Kiadó, vol. 126(10), pages 8581-8587, October.
    2. Loet Leydesdorff & Han Woo Park & Balazs Lengyel, 2014. "A routine for measuring synergy in university–industry–government relations: mutual information as a Triple-Helix and Quadruple-Helix indicator," Scientometrics, Springer;Akadémiai Kiadó, vol. 99(1), pages 27-35, April.
    3. 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.
    4. Saikou Y. Diallo & Christopher J. Lynch & Ross Gore & Jose J. Padilla, 2016. "Identifying key papers within a journal via network centrality measures," Scientometrics, Springer;Akadémiai Kiadó, vol. 107(3), pages 1005-1020, June.
    5. Yan, Erjia & Ding, Ying & Cronin, Blaise & Leydesdorff, Loet, 2013. "A bird's-eye view of scientific trading: Dependency relations among fields of science," Journal of Informetrics, Elsevier, vol. 7(2), pages 249-264.

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