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

Volumn 61, Issue 10, 2010, Pages 2138-2150

  Leydesdorff, Loet ^a  

^a UNIVERSITY OF AMSTERDAM   (Netherlands)

Author keywords

[No Author keywords available]

Indexed keywords

ANTICIPATORY SYSTEMS; MEANING PROCESSING; MODELING SYSTEMS; MUTUAL INFORMATIONS; SCIENTIFIC ARTICLES; SELF ORGANIZING; SELF-ORGANIZATIONS; SOCIAL SYSTEMS; STRUCTURATION; STRUCTURATION THEORY; THREE DIMENSIONS;

COMMUNICATION;

EID: 77957058996     PISSN: 15322882     EISSN: 15322890     Source Type: Journal    
DOI: 10.1002/asi.21381     Document Type: Article

References (70)

1. Abramson, N. (1963). Information theory and coding. New York: McGraw- Hill.
2. Adorno, T.W., Albert, H., Dahrendorf, R., Habermas, J., Pilot, H., & Popper, K.R. (1969). Positivismusstreit in der deutschen Soziologie [The controversy about positivism in German sociology]. Frankfurt, Germany: Luchterhand.
3. Bell, D. (1973). The coming of the post-industrial society. New York: Basic Books.
4. Berger, P.L., & Luckmann, T. (1966). The social construction of reality: A treatise in the sociology of knowledge. Garden City, NJ: Doubleday.
5. Bourdieu, P. (2004). Science of science and reflexivity. Chicago: University of Chicago Press.
6. Callon, M., Law, J., & Rip, A. (Eds.). (1986). Mapping the dynamics of science and technology. London: Macmillan.
7. Collier, J. (2008). Simulating autonomous anticipation: The importance of Dubois' conjecture. BioSystems, 91(2), 346-354.
8. Dasgupta, P., & David, P. (1994). Towards a new economics of science. Research Policy, 23(5), 487-522.
9. De Nooy, W., & Leydesdorff, L. (2009, October). How can configurations be studied in 2-mode networks? Configurational information and "structuration." Paper presented at the Two-Mode Social Network Analysis Conference, Free University Amsterdam, the Netherlands.
10. Descartes, R. (1637). Discours de la méthode pour bien conduire sa raison, et chercher la vérité dans les sciences [Discourse on method]. Leiden, The Netherlands: Jan Maire.
11. Dubois, D.M. (1998). Computing anticipatory systems with incursion and hyperincursion. In D.M. Dubois (Ed.), Proceedings of the First International Conference on ComputingAnticipatory Systems (CAYS) (Vol. 437, pp. 3-29).Woodbury, NY: American Institute of Physics.
12. Fujigaki,Y. (1998). Filling the gap between discussions on science and scientists' everyday activities: Applying the autopoiesis system theory to scientific knowledge. Social Science Information, 37(1), 5-22.
13. Garner,W.R., & McGill,W.J. (1956). The relation between information and variance analyses. Psychometrika, 21(3), 219-228.
14. Geertz, C. (1973). The interpretation of cultures. New York: Basic Books.
15. Giddens, A. (1976). Newrules of sociological method. London: Hutchinson.
16. Giddens, A. (1979). Central problems in social theory. London: Macmillan.
17. Giddens, A. (1984). The Constitution of society. Cambridge, United Kingdom: Polity Press.
18. Gilbert, N. (1997). A simulation of the structure of academic science. Sociological Research Online, 2(2). Retrieved June 8, 2010, from http://www.socresonline.org.uk/socresonline/2/2/3.html.
19. Gilbert, G.N., & Mulkay, M.J. (1984). Opening Pandora's Box. A Sociological analysis of scientists' discourse. Cambridge, United Kingdom: Cambridge University Press.
20. Habermas, J. (1981). Theorie des kommunikativen handelns [The theory of communicative action]. Frankfurt, Germany: Suhrkamp.
21. Habermas, J. (1987). Excursus on Luhmann's appropriation of the philosophy of the subject through systems theory. In The philosophical discourse of modernity:Twelve lectures (pp. 368-385). Cambridge,MA:MIT Press.
22. Husserl, E. (1973). Cartesianische Meditationen und Pariser Vorträge [Cartesian meditations and the Paris lectures]. The Hague, Netherlands: Martinus Nijhoff. Original work published in 1929.
23. Husserl, E. (1931). Ideas: General introduction to pure phenomenology [1913]. TranslationW.B. Boyce Gibson. London: Collier Macmillan.
24. Husserl, E. (1970). The crisis of European sciences and transcendental phenomenology. (D. Carr, Trans.). Evanston, IL: Northwestern University Press.
25. Krippendorff, K. (1980). Q: An interpretation of the information theoretical Q-measures. In R. Trappl, G.J. Klir, & F. Pichler (Eds.), Progress in cybernetics and systems research (Vol. VIII, pp. 63-67). New York: Hemisphere.
26. Krippendorff, K. (2009a). Information of interactions in complex systems. International Journal of General Systems, 38(6), 669-680.
27. Krippendorff, K. (2009b). W. Ross Ashby's information theory: A bit of history, some solutions to problems, and what we face today. International Journal of General Systems, 38(2), 189-212.
28. Kuhn, T.S. (1962). The structure of scientific revolutions. Chicago: University of Chicago Press.
29. Künzler, J. (1987). Grundlagenprobleme der Theorie symbolisch generalisierter Kommunikationsmedien bei Niklas Luhmann [Foundational problems in the theory of symbolically generalized media of the communication]. Zeitschrift für Soziologie, 16(5), 317-333.
30. Latour, B. (1988). The Pasteurization of France. Cambridge, MA: Harvard University Press.
31. Leydesdorff, L. (1989). Words and co-words as indicators of intellectual organization. Research Policy, 18(4), 209-223.
32. Leydesdorff, L. (1993). 'Structure'/'action' contingencies and the model of parallel processing. Journal for the Theory of Social Behaviour, 23(1), 47-77.
33. Leydesdorff, L. (1997). Why words and co-words cannot map the development of the sciences? Journal of the American Society for Information Science, 48(5), 418-427. (Pubitemid 127612345)
34. Leydesdorff, L. (2000). Luhmann, Habermas, and the theory of communication. Systems Research and Behavioral Science, 17(3), 273-288.
35. Leydesdorff, L. (2006). The biological metaphor of a (second-order) observer and the sociological discourse. Kybernetes, 35(3/4), 531-546.
36. Leydesdorff, L. (2007). Scientific communication and cognitive codification: Social systems theory and the sociology of scientific knowledge. European Journal of Social Theory, 10(3), 375-388.
37. Leydesdorff, L. (2008). The communication of meaning in anticipatory systems: A simulation study of the dynamics of intentionality in social interactions. In D.M. Dubois (Ed.), Proceedings of the Eighth International Conference on Computing Anticipatory Systems (CASYS'07) (Vol. 1051 pp. 33-49). Melville, NY: American Institute of Physics Conference Proceedings.
38. Leydesdorff, L. (2009a). Interaction information: Linear and nonlinear interpretations. International Journal of General Systems, 38(6), 681-685.
39. Leydesdorff, L. (2009b). The non-linear dynamics of meaning-processing in social systems. Social Science Information, 48(1), 5-33.
40. Leydesdorff, L. (2010a). The knowledge-based economy and the triple helix model. Annual Review of Information Science and Technology, 44, 367-417.
41. Leydesdorff, L. (2010b). Redundancy in systems which entertain a model of themselves: Interaction information and the self-organization of anticipation. Entropy, 12(1), 63-79.
42. Leydesdorff, L. (2010c). What can heterogeneity add to the scientometric map? Steps towards algorithmic historiography. In M. Akrich,Y. Barthe, F. Muniesa, & P. Mustar (Eds.), Festschrift for Michel Callon's 65th irthday. Paris: école Nationale Supérieure des Mines.
43. Leydesdorff, L. (2010). Luhmann reconsidered: Steps towards an empirical research program in the sociology of communication. In C. Grant (Ed.), Beyond universal pragmatics: Essays in the philosophy of communication (pp. 149-173). Oxford, UK: Peter Lang.
44. Leydesdorff, L., & Franse, S. (2009). The communication of meaning in social systems. Systems Research and Behavioral Science, 26(1), 109-117.
45. Lucio-Arias, D., & Leydesdorff, L. (2009). The dynamics of exchanges and references among scientific texts, and the autopoiesis of discursive knowledge. Journal of Informetrics, 3(2), 261-271.
46. Luhmann, N. (1975a). Einführende Bemerkungen zu einer Theorie symbolisch generalisierter Kommunikationsmedien [Introductory notes to a theory of symbolically generalized media of the communication]. In Soziologische Aufklärung (pp. 170-192). Vol.2. Opladen, Germany: Westdeutscher.
47. Luhmann, N. (1975b). Interaktion, Organisation, Gesellschaft: Anwendungen der Systemtheorie [Interaction, organization, society: Applications of systems theory]. In M. Gerhardt (Ed.), Die Zukunft der Philosophie (pp. 85-107). München, Germany: List.
48. Luhmann, N. (1984). Soziale Systeme. Grundriβ einer allgemeinen Theorie [Social systems: Outline of a general theory]. Frankfurt a.M., Germany: Suhrkamp.
49. Luhmann, N. (1986). The autopoiesis of social systems. In F. Geyer & J.v.d. Zouwen (Eds.), Sociocybernetic paradoxes (pp. 172-192). London: Sage.
50. Luhmann, N. (1995). Social systems. Stanford, CA: Stanford University Press.
51. Luhmann, N. (2000). Organisation und Entscheidung [Organization and decision]. Opladen, Germany:Westdeutscher.
52. Luhmann, N. (2002). How can the mind participate in communication? In W. Rasch (Ed.), Theories of distinction: Redescribing the descriptions of modernity (pp. 169-184). Stanford, CA: Stanford University Press.
53. Maturana, H.R. (1978). Biology of language: The epistemology of reality. In G.A. Miller & E. Lenneberg (Eds.), Psychology and biology of language and thought. Essays in honor of Eric Lenneberg (pp. 27-63). New York: Academic Press.
54. Maturana, H.R., & Varela, F. (1980). Autopoiesis and cognition: The realization of the living. Boston: Reidel.
55. McGill,W.J. (1954). Multivariate information transmission. Psychometrika, 19(2), 97-116.
56. Mead, G.H. (1934). The point of viewof social behaviourism. In C.H. Morris (Ed.), Mind, self, & society from the standpoint of a social behaviourist. Works of G.H. Mead (Vol. 1, pp. 1-41). Chicago and London: University of Chicago Press.
57. Mulkay, M., Potter, J.,&Yearley, S. (1983).Why an analysis of scientific discourse is needed. In K.D. Knorr & M.J. Mulkay (Eds.), Science observed: Perspectives on the social study of science (pp. 171-204.). London: Sage.
58. Nonaka, I., & Takeuchi, H. (1995). The knowledge creating company. Oxford, United Kingdom: Oxford University Press.
59. Parsons, T. (1951). The social system. New York: Free Press.
60. Parsons, T. (1963a). On the concept of political power. Proceedings of the American Philosophical Society, 107(3), 232-262.
61. Parsons, T. (1963b). On the concept of influence. Public Opinion Quarterly 27 (Spring), 37-62.
62. Parsons, T. (1968). Interaction: I. Social interaction. In D.L. Sills (Ed.), The international encyclopedia of the social sciences (Vol. 7, pp. 429-441). New York: McGraw-Hill.
63. Rosen, R. (1985). Anticipatory systems: Philosophical, mathematical and methodological foundations. Oxford, United Kingdom: Pergamon Press.
64. Schutz,A. ([1932] 1967). The phenomenology of the socialworld. Evanston, IL: Northwestern University.
65. Shannon, C.E. (1948). A mathematical theory of communication. Bell System Technical Journal, 27, 379-423 and 623-1356
66. Shannon, C.E., &Weaver,W. (1949). The mathematical theory of communication. Urbana, IL: University of Illinois Press.
67. Strydom, P. (1999).Triple contingency: The theoretical problem of the public in communication societies. Philosophy & Social Criticism, 25(2), 1-25.
68. Watanabe, S. (1960). Information theoretical analysis of multivariate correlation. IBM Journal of Research and Development, 4(1), 66-82.
69. Weber, M. ([1922] 1978). Economy and society, 2 volumes. Berkeley, CA: University of California.
70. Yeung, R.W. (2008). Information theory and network coding. New York: Springer. Retrieved May 28, 2010, from http://iest2.ie.cuhk.edu.hk/~whyeung/ post/main2.pdf.