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The communication of meaning and the structuration of expectations: Giddens' “structuration theory” and Luhmann's “self-organization”

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  • Loet Leydesdorff

Abstract

The communication of meaning as distinct from (Shannon‐type) information is central to Luhmann's social systems theory and Giddens' structuration theory of action. These theories share an emphasis on reflexivity, but focus on meaning along a divide between interhuman communication and intentful action as two different systems of reference. Recombining these two theories into a theory about the structuration of expectations, interactions, organization, and self‐organization of intentional communications can be simulated based on algorithms from the computation of anticipatory systems. The self‐organizing and organizing layers remain rooted in the double contingency of the human encounter, which provides the variation. Organization and self‐organization of communication are reflexive upon and therefore reconstructive of each other. Using mutual information in three dimensions, the imprint of meaning processing in the modeling system on the historical organization of uncertainty in the modeled system can be measured. This is shown empirically in the case of intellectual organization as “structurating” structure in the textual domain of scientific articles.
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Suggested Citation

  • Loet Leydesdorff, 2010. "The communication of meaning and the structuration of expectations: Giddens' “structuration theory” and Luhmann's “self-organization”," Journal of the Association for Information Science & Technology, Association for Information Science & Technology, vol. 61(10), pages 2138-2150, October.
  • Handle: RePEc:bla:jinfst:v:61:y:2010:i:10:p:2138-2150
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    Cited by:

    1. Mark William Johnson & Loet Leydesdorff, 2015. "Beer's Viable System Model and Luhmann's Communication Theory: ‘Organizations’ from the Perspective of Meta-Games," Systems Research and Behavioral Science, Wiley Blackwell, vol. 32(3), pages 266-282, May.
    2. 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.
    3. Inga A. Ivanova & Loet Leydesdorff, 2014. "A simulation model of the Triple Helix of university–industry–government relations and the decomposition of the redundancy," Scientometrics, Springer;Akadémiai Kiadó, vol. 99(3), pages 927-948, June.
    4. 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.
    5. Leydesdorff, Loet & Welbers, Kasper, 2011. "The semantic mapping of words and co-words in contexts," Journal of Informetrics, Elsevier, vol. 5(3), pages 469-475.
    6. Loet Leydesdorff, 2015. "Can intellectual processes in the sciences also be simulated? The anticipation and visualization of possible future states," Scientometrics, Springer;Akadémiai Kiadó, vol. 105(3), pages 2197-2214, December.

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