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Scientific collaboration dynamics in a national scientific system

Author

Listed:
  • Anuška Ferligoj

    (University of Ljubljana)

  • Luka Kronegger

    (University of Ljubljana)

  • Franc Mali

    (University of Ljubljana)

  • Tom A. B. Snijders

    (University of Groningen
    University of Oxford)

  • Patrick Doreian

    (University of Ljubljana
    University of Pittsburgh)

Abstract

This paper examines the collaboration structures and dynamics of the co-authorship network of all Slovenian researchers. Its goal is to identify the key factors driving collaboration and the main differences in collaboration behavior across scientific fields and disciplines. Two approaches to modelling network dynamics are combined in this paper: the small-world model and the mechanism of preferential attachment, also known as the process of cumulative advantage. Stochastic-actor-based modelling of co-authorship network dynamics uses data for the complete longitudinal co-authorship networks for the entire Slovenian scientific community from 1996 to 2010. We confirmed the presence of clustering in all fields and disciplines. Preferential attachment is far more complex than a single global mechanism. There were two clear distinctions regarding collaboration within scientific fields and disciplines. One was that some fields had an internal national saturation inhibiting further collaboration. The second concerned the differential impact of collaboration with scientists from abroad on domestic collaboration. In the natural, technical, medical, and biotechnical sciences, this promotes collaboration within the Slovenian scientific community while in the social sciences and humanities this inhibits internal collaboration.

Suggested Citation

  • Anuška Ferligoj & Luka Kronegger & Franc Mali & Tom A. B. Snijders & Patrick Doreian, 2015. "Scientific collaboration dynamics in a national scientific system," Scientometrics, Springer;Akadémiai Kiadó, vol. 104(3), pages 985-1012, September.
    • Handle: RePEc:spr:scient:v:104:y:2015:i:3:d:10.1007_s11192-015-1585-7
    DOI: 10.1007/s11192-015-1585-7
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    References listed on IDEAS

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    1. Abbasi, Alireza & Hossain, Liaquat & Leydesdorff, Loet, 2012. "Betweenness centrality as a driver of preferential attachment in the evolution of research collaboration networks," Journal of Informetrics, Elsevier, vol. 6(3), pages 403-412.
    2. Said, Yasmin H. & Wegman, Edward J. & Sharabati, Walid K. & Rigsby, John T., 2008. "Social networks of author-coauthor relationships," Computational Statistics & Data Analysis, Elsevier, vol. 52(4), pages 2177-2184, January.
    3. Luka Kronegger & Anuška Ferligoj & Patrick Doreian, 2011. "On the dynamics of national scientific systems," Quality & Quantity: International Journal of Methodology, Springer, vol. 45(5), pages 989-1015, August.
    4. Wagner, Caroline S. & Leydesdorff, Loet, 2005. "Network structure, self-organization, and the growth of international collaboration in science," Research Policy, Elsevier, vol. 34(10), pages 1608-1618, December.
    5. Perc, Matjaž, 2010. "Growth and structure of Slovenia’s scientific collaboration network," Journal of Informetrics, Elsevier, vol. 4(4), pages 475-482.
    6. Thomas W. Pike, 2010. "Collaboration networks and scientific impact among behavioral ecologists," Behavioral Ecology, International Society for Behavioral Ecology, vol. 21(2), pages 431-435.
    7. Luka Kronegger & Franc Mali & Anuška Ferligoj & Patrick Doreian, 2012. "Collaboration structures in Slovenian scientific communities," Scientometrics, Springer;Akadémiai Kiadó, vol. 90(2), pages 631-647, February.
    8. Patrick Doreian & Anuška Ferligoj & Luka Kronegger, 2011. "On the dynamics of national scientific systems: a reply," Quality & Quantity: International Journal of Methodology, Springer, vol. 45(5), pages 1025-1029, August.
    9. Indlekofer, Natalie & Brandes, Ulrik, 2013. "Relative importance of effects in stochastic actor-oriented models," Network Science, Cambridge University Press, vol. 1(3), pages 278-304, December.
    10. Domenico De Stefano & Giuseppe Giordano & Maria Vitale, 2011. "Issues in the analysis of co-authorship networks," Quality & Quantity: International Journal of Methodology, Springer, vol. 45(5), pages 1091-1107, August.
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