IDEAS home Printed from https://ideas.repec.org/a/cup/netsci/v11y2023i1p143-173_7.html
   My bibliography  Save this article

Understanding collaboration patterns on funded research projects: A network analysis

Author

Listed:
  • Smith, Matthew
  • Sarabi, Yasaman
  • Christopoulos, Dimitris

Abstract

This paper provides an examination of inter-organizational collaboration in the UK research system. Data are collected on organizational collaboration on projects funded by four key UK research councils: Arts and Humanities Research Council, Economic and Social Research Council, Engineering and Physical Sciences Research Council, and Biotechnology and Biological Sciences Research Council. The organizational partnerships include both academic and nonacademic institutions. A collaboration network is created for each research council, and an exponential random graph model is applied to inform on the mechanisms underpinning collaborative tie formation on research council-funded projects. We find that in the sciences, collaborative patterns are much more hierarchical and concentrated in a small handful of actors compared to the social sciences and humanities projects. Institutions that are members of the elite Russell Group (a set of 24 high-ranking UK universities) are much more likely to be involved in collaborations across research councils.

Suggested Citation

  • Smith, Matthew & Sarabi, Yasaman & Christopoulos, Dimitris, 2023. "Understanding collaboration patterns on funded research projects: A network analysis," Network Science, Cambridge University Press, vol. 11(1), pages 143-173, March.
  • Handle: RePEc:cup:netsci:v:11:y:2023:i:1:p:143-173_7
    as

    Download full text from publisher

    File URL: https://www.cambridge.org/core/product/identifier/S2050124222000339/type/journal_article
    File Function: link to article abstract page
    Download Restriction: no
    ---><---

    More about this item

    Statistics

    Access and download statistics

    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:cup:netsci:v:11:y:2023:i:1:p:143-173_7. 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.

    We have no bibliographic references for this item. You can help adding them by using 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: Kirk Stebbing (email available below). General contact details of provider: https://www.cambridge.org/nws .

    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.