IDEAS home Printed from https://ideas.repec.org/a/eee/infome/v3y2009i3p261-271.html
   My bibliography  Save this article

The dynamics of exchanges and references among scientific texts, and the autopoiesis of discursive knowledge

Author

Listed:
  • Lucio-Arias, Diana
  • Leydesdorff, Loet

Abstract

Discursive knowledge emerges as codification in flows of communication. The flows of communication are constrained and enabled by networks of communications as their historical manifestations at each moment of time. New publications modify the existing networks by changing the distributions of attributes and relations in document sets, while the networks are self-referentially updated along trajectories. Codification operates reflexively: the network structures are reconstructed from the perspective of hindsight. Codification along different axes differentiates discursive knowledge into specialties. These intellectual control structures are constructed bottom-up, but feed top-down back upon the production of new knowledge. However, the forward dynamics of diffusion in the development of the communication networks along trajectories differs from the feedback mechanisms of control. Analysis of the development of scientific communication in terms of evolving scientific literatures provides us with a model which makes these evolutionary processes amenable to measurement.

Suggested Citation

  • 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.
    • Handle: RePEc:eee:infome:v:3:y:2009:i:3:p:261-271
    DOI: 10.1016/j.joi.2009.03.003
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S175115770900025X
    Download Restriction: Full text for ScienceDirect subscribers only
    File URL: https://libkey.io/10.1016/j.joi.2009.03.003?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. Etzkowitz, Henry & Leydesdorff, Loet, 2000. "The dynamics of innovation: from National Systems and "Mode 2" to a Triple Helix of university-industry-government relations," Research Policy, Elsevier, vol. 29(2), pages 109-123, February.
    2. 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.
    3. William McGill, 1954. "Multivariate information transmission," Psychometrika, Springer;The Psychometric Society, vol. 19(2), pages 97-116, June.
    4. Chen, Chaomei & Chen, Yue & Horowitz, Mark & Hou, Haiyan & Liu, Zeyuan & Pellegrino, Donald, 2009. "Towards an explanatory and computational theory of scientific discovery," Journal of Informetrics, Elsevier, vol. 3(3), pages 191-209.
    5. Richard King & William T. Boehm & R. James Hildreth & Dale Dahl, 1979. "Foreword," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 61(4_Part_2).
    6. 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.
    7. Nelson, Richard R. & Winter, Sidney G., 1993. "In search of useful theory of innovation," Research Policy, Elsevier, vol. 22(2), pages 108-108, April.
    8. Frenken, Koen & Leydesdorff, Loet, 2000. "Scaling trajectories in civil aircraft (1913-1997)," Research Policy, Elsevier, vol. 29(3), pages 331-348, March.
    9. P. Wouters, 1999. "Beyond the holy grail: From citation theory to indicator theories," Scientometrics, Springer;Akadémiai Kiadó, vol. 44(3), pages 561-580, March.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. 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.
    2. Ryan Light & jimi adams, 2016. "Knowledge in motion: the evolution of HIV/AIDS research," Scientometrics, Springer;Akadémiai Kiadó, vol. 107(3), pages 1227-1248, June.
    3. Burmaoglu, Serhat & Sartenaer, Olivier & Porter, Alan, 2019. "Conceptual definition of technology emergence: A long journey from philosophy of science to science policy," Technology in Society, Elsevier, vol. 59(C).
    4. Frank Bakker & Iina Hellsten, 2013. "Capturing Online Presence: Hyperlinks and Semantic Networks in Activist Group Websites on Corporate Social Responsibility," Journal of Business Ethics, Springer, vol. 118(4), pages 807-823, December.
    5. Werner Marx & Lutz Bornmann, 2010. "How accurately does Thomas Kuhn’s model of paradigm change describe the transition from the static view of the universe to the big bang theory in cosmology?," Scientometrics, Springer;Akadémiai Kiadó, vol. 84(2), pages 441-464, August.
    6. Boschma, Ron & Heimeriks, Gaston & Balland, Pierre-Alexandre, 2014. "Scientific knowledge dynamics and relatedness in biotech cities," Research Policy, Elsevier, vol. 43(1), pages 107-114.
    7. Frenken, Koen & Hardeman, Sjoerd & Hoekman, Jarno, 2009. "Spatial scientometrics: Towards a cumulative research program," Journal of Informetrics, Elsevier, vol. 3(3), pages 222-232.
    8. Gaston Heimeriks, 2009. "Governing science as a complex adaptive system," Innovation Studies Utrecht (ISU) working paper series 09-16, Utrecht University, Department of Innovation Studies, revised Nov 2009.
    9. Gaston Heimeriks & Ron Boschma, 2014. "The path- and place-dependent nature of scientific knowledge production in biotech 1986–2008," Journal of Economic Geography, Oxford University Press, vol. 14(2), pages 339-364.
    10. Martin Meyer & Kevin Grant & Piera Morlacchi & Dagmara Weckowska, 2014. "Triple Helix indicators as an emergent area of enquiry: a bibliometric perspective," Scientometrics, Springer;Akadémiai Kiadó, vol. 99(1), pages 151-174, April.
    11. Park, Han Woo & Leydesdorff, Loet, 2013. "Decomposing social and semantic networks in emerging “big data” research," Journal of Informetrics, Elsevier, vol. 7(3), pages 756-765.
    12. Meyer, Eric T. & Schroeder, Ralph, 2009. "Untangling the web of e-Research: Towards a sociology of online knowledge," Journal of Informetrics, Elsevier, vol. 3(3), pages 246-260.
    13. Staša Milojević & Loet Leydesdorff, 2013. "Information metrics (iMetrics): a research specialty with a socio-cognitive identity?," Scientometrics, Springer;Akadémiai Kiadó, vol. 95(1), pages 141-157, April.

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Petersen, Alexander M. & Rotolo, Daniele & Leydesdorff, Loet, 2016. "A triple helix model of medical innovation: Supply, demand, and technological capabilities in terms of Medical Subject Headings," Research Policy, Elsevier, vol. 45(3), pages 666-681.
    2. Souzanchi Kashani, Ebrahim & Roshani, Saeed, 2019. "Evolution of innovation system literature: Intellectual bases and emerging trends," Technological Forecasting and Social Change, Elsevier, vol. 146(C), pages 68-80.
    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 & 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.
    5. Lengyel, Balázs & Leydesdorff, Loet, 2015. "The Effects of FDI on Innovation Systems in Hungarian Regions: Where is the Synergy Generated?," MPRA Paper 73945, University Library of Munich, Germany.
    6. Loet Leydesdorff & Martin Meyer, 2003. "The Triple Helix of university-industry-government relations," Scientometrics, Springer;Akadémiai Kiadó, vol. 58(2), pages 191-203, October.
    7. Weimin Kang & Shuliang Zhao & Wei Song & Tao Zhuang, 2019. "Triple helix in the science and technology innovation centers of China from the perspective of mutual information: a comparative study between Beijing and Shanghai," Scientometrics, Springer;Akadémiai Kiadó, vol. 118(3), pages 921-940, March.
    8. Bobby Swar & Gohar Feroz Khan, 2014. "Mapping ICT knowledge infrastructure in South Asia," Scientometrics, Springer;Akadémiai Kiadó, vol. 99(1), pages 117-137, April.
    9. Porto-Gomez, Igone & Zabala-Iturriagagoitia, Jon Mikel & Leydesdorff, Loet, 2019. "Innovation systems in México: A matter of missing synergies," Technological Forecasting and Social Change, Elsevier, vol. 148(C).
    10. Inga Ivanova & Oivind Strand & Loet Leydesdorff, 2014. "Synergy cycles in the Norwegian innovation system: The relation between synergy and cycle values," Papers 1409.2760, arXiv.org.
    11. Ki-Seok Kwon & Han Woo Park & Minho So & Loet Leydesdorff, 2012. "Has globalization strengthened South Korea’s national research system? National and international dynamics of the Triple Helix of scientific co-authorship relationships in South Korea," Scientometrics, Springer;Akadémiai Kiadó, vol. 90(1), pages 163-176, January.
    12. Jacob Wood & Gohar Feroz Khan, 2015. "International trade negotiation analysis: network and semantic knowledge infrastructure," Scientometrics, Springer;Akadémiai Kiadó, vol. 105(1), pages 537-556, October.
    13. repec:hig:wpaper:98sti2019 is not listed on IDEAS
    14. Reis, Anabela & Heitor, Manuel & Amaral, Miguel & Mendonça, Joana, 2016. "Revisiting industrial policy: Lessons learned from the establishment of an automotive OEM in Portugal," Technological Forecasting and Social Change, Elsevier, vol. 113(PB), pages 195-205.
    15. Gao, Qiang & Liang, Zhentao & Wang, Ping & Hou, Jingrui & Chen, Xiuxiu & Liu, Manman, 2021. "Potential index: Revealing the future impact of research topics based on current knowledge networks," Journal of Informetrics, Elsevier, vol. 15(3).
    16. Josphert Ngui Kimatu, 2016. "Evolution of strategic interactions from the triple to quad helix innovation models for sustainable development in the era of globalization," Journal of Innovation and Entrepreneurship, Springer, vol. 5(1), pages 1-7, December.
    17. Park, Han Woo & Leydesdorff, Loet, 2010. "Longitudinal trends in networks of university-industry-government relations in South Korea: The role of programmatic incentives," Research Policy, Elsevier, vol. 39(5), pages 640-649, June.
    18. Giovanni Dosi & Richard Nelson, 2013. "The Evolution of Technologies: An Assessment of the State-of-the-Art," Eurasian Business Review, Springer;Eurasia Business and Economics Society, vol. 3(1), pages 3-46, June.
    19. Carlos Olmeda-Gómez & Maria-Antonia Ovalle-Perandones & Antonio Perianes-Rodríguez, 2017. "Co-word analysis and thematic landscapes in Spanish information science literature, 1985–2014," Scientometrics, Springer;Akadémiai Kiadó, vol. 113(1), pages 195-217, October.
    20. Huamei Shao & Gunwoo Kim & Qing Li & Galen Newman, 2021. "Web of Science-Based Green Infrastructure: A Bibliometric Analysis in CiteSpace," Land, MDPI, vol. 10(7), pages 1-19, July.
    21. Lee, Young Hoon & Kim, YoungJun, 2016. "Analyzing interaction in R&D networks using the Triple Helix method: Evidence from industrial R&D programs in Korean government," Technological Forecasting and Social Change, Elsevier, vol. 110(C), pages 93-105.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:eee:infome:v:3:y:2009:i:3:p:261-271. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Catherine Liu (email available below). General contact details of provider: http://www.elsevier.com/locate/joi .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.