IDEAS home Printed from https://ideas.repec.org/a/spr/scient/v128y2023i1d10.1007_s11192-022-04533-0.html
   My bibliography  Save this article

Using the weighted Lorenz curve to represent balance in collaborations: the BIC indicator

Author

Listed:
  • Ronald Rousseau

    (KU Leuven
    University of Antwerp)

  • Lin Zhang

    (KU Leuven
    Wuhan University
    Wuhan University)

  • Gunnar Sivertsen

    (Nordic Institute for Studies in Innovation, Research and Education)

Abstract

This article aims to add to the body of indicators used to study collaboration in science. We propose a new indicator to measure balance in collaboration (BIC) which is based on the Gini evenness index for a weighted Lorenz curve. The new indicator of balance builds upon and extends the use of, our previously introduced indicator of relative intensity of collaboration (RIC). We present examples based on the collaboration network between the twenty largest countries contributing to science during 2000–2020.

Suggested Citation

  • Ronald Rousseau & Lin Zhang & Gunnar Sivertsen, 2023. "Using the weighted Lorenz curve to represent balance in collaborations: the BIC indicator," Scientometrics, Springer;Akadémiai Kiadó, vol. 128(1), pages 609-622, January.
    • Handle: RePEc:spr:scient:v:128:y:2023:i:1:d:10.1007_s11192-022-04533-0
    DOI: 10.1007/s11192-022-04533-0
    as

    Download full text from publisher

    File URL: http://link.springer.com/10.1007/s11192-022-04533-0
    File Function: Abstract
    Download Restriction: Access to the full text of the articles in this series is restricted.
    File URL: https://libkey.io/10.1007/s11192-022-04533-0?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. Zaida Chinchilla-Rodríguez & Yi Bu & Nicolás Robinson-García & Cassidy R. Sugimoto, 2021. "An empirical review of the different variants of the probabilistic affinity index as applied to scientific collaboration," Scientometrics, Springer;Akadémiai Kiadó, vol. 126(2), pages 1775-1795, February.
    2. Li Tang & Cong Cao & Zheng Wang & Zhuo Zhou, 2021. "Decoupling in science and education: A collateral damage beyond deteriorating US–China relations," Science and Public Policy, Oxford University Press, vol. 48(5), pages 630-634.
    3. Joel Emanuel Fuchs & Gunnar Sivertsen & Ronald Rousseau, 2021. "Measuring the relative intensity of collaboration within a network," Scientometrics, Springer;Akadémiai Kiadó, vol. 126(10), pages 8673-8682, October.
    4. Zitt, M. & Barre, R. & Sigogneau, A. & Laville, F., 1999. "Territorial concentration and evolution of science and technology activities in the European Union: a descriptive analysis," Research Policy, Elsevier, vol. 28(5), pages 545-562, June.
    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. Gangan Prathap & Ronald Rousseau, 2023. "The modified repeat rate described within a thermodynamic framework," Scientometrics, Springer;Akadémiai Kiadó, vol. 128(5), pages 3185-3195, May.
    2. Bertoli-Barsotti, Lucio & Gagolewski, Marek & Siudem, Grzegorz & Żogała-Siudem, Barbara, 2024. "Gini-stable Lorenz curves and their relation to the generalised Pareto distribution," Journal of Informetrics, Elsevier, vol. 18(2).

    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. Smolinsky, Lawrence & Yang, Seungwon, 2024. "Validity and bias of indicators of international collaboration: A theoretical analysis with an empirical study of Ukraine-Russia-United States and China-United States," Journal of Informetrics, Elsevier, vol. 18(1).
    2. Alfons Palangkaraya, 2010. "Patent Application Databases," Australian Economic Review, The University of Melbourne, Melbourne Institute of Applied Economic and Social Research, vol. 43(1), pages 77-87, March.
    3. Jyoti Dua & Vivek Kumar Singh & Hiran H. Lathabai, 2023. "Measuring and characterizing international collaboration patterns in Indian scientific research," Scientometrics, Springer;Akadémiai Kiadó, vol. 128(9), pages 5081-5116, September.
    4. Fornahl, Dirk & Brenner, Thomas, 2009. "Geographic concentration of innovative activities in Germany," Structural Change and Economic Dynamics, Elsevier, vol. 20(3), pages 163-182, September.
    5. Michel Zitt & Suzy Ramanana-Rahary & Elise Bassecoulard & Françoise Laville, 2003. "Potential science-technology spillovers in regions: An insight on geographic co-location of knowledge activities in the EU," Scientometrics, Springer;Akadémiai Kiadó, vol. 57(2), pages 295-320, June.
    6. Rhoden, Imke, 2020. "Innovating in Krugman’s Footsteps – Where and How Innovation Differs in Europe: Static Innovation Indicators for Identifying Regional Policy Leverages," EconStor Preprints 218875, ZBW - Leibniz Information Centre for Economics.
    7. Sotaro Shibayama, 2011. "Distribution of academic research funds: a case of Japanese national research grant," Scientometrics, Springer;Akadémiai Kiadó, vol. 88(1), pages 43-60, July.
    8. Hans Gersbach & Armin Schmutzler, 2011. "Foreign direct investment and R&D-offshoring," Oxford Economic Papers, Oxford University Press, vol. 63(1), pages 134-157, January.
    9. Martin Meyer, 2002. "Tracing knowledge flows in innovation systems," Scientometrics, Springer;Akadémiai Kiadó, vol. 54(2), pages 193-212, June.
    10. Leydesdorff, Loet & Rafols, Ismael, 2011. "Indicators of the interdisciplinarity of journals: Diversity, centrality, and citations," Journal of Informetrics, Elsevier, vol. 5(1), pages 87-100.
    11. Ana Teresa Santos & Sandro Mendonça, 2022. "The small world of innovation studies: an “editormetrics” perspective," Scientometrics, Springer;Akadémiai Kiadó, vol. 127(12), pages 7471-7486, December.
    12. Yutao Sun & Cong Cao, 2021. "Planning for science: China’s “grand experiment” and global implications," Palgrave Communications, Palgrave Macmillan, vol. 8(1), pages 1-9, December.
    13. Maisonobe, Marion & Eckert, Denis & Grossetti, Michel & Jégou, Laurent & Milard, Béatrice, 2016. "The world network of scientific collaborations between cities: domestic or international dynamics?," Journal of Informetrics, Elsevier, vol. 10(4), pages 1025-1036.
    14. Grupp, Hariolf & Mogee, Mary Ellen, 2004. "Indicators for national science and technology policy: how robust are composite indicators?," Research Policy, Elsevier, vol. 33(9), pages 1373-1384, November.
    15. Rousseau, Ronald & Garcia-Zorita, Carlos & Sanz-Casado, Elías, 2023. "Publications during COVID-19 times: An unexpected overall increase," Journal of Informetrics, Elsevier, vol. 17(4).
    16. Michel Zitt & Elise Bassecoulard & Yoshiko Okubo, 2000. "Shadows of the Past in International Cooperation: Collaboration Profiles of the Top Five Producers of Science," Scientometrics, Springer;Akadémiai Kiadó, vol. 47(3), pages 627-657, March.
    17. Howells, Jeremy, 2005. "Innovation and regional economic development: A matter of perspective?," Research Policy, Elsevier, vol. 34(8), pages 1220-1234, October.
    18. Hui Geng & Yanrui Wu & Xing Shi, 2022. "International Collaboration and Research Organization Performance: Evidence from China," Economics Discussion / Working Papers 22-11, The University of Western Australia, Department of Economics.
    19. Knudsen, Mette Praest, 2002. "Economic and competence regions: a descriptive analysis of Danish regions," ERSA conference papers ersa02p345, European Regional Science Association.
    20. Shibayama Sotaro, 2010. "Distribution of Academic Research Funds: Case of Japanese National Research Grant," Department of Economics and Statistics Cognetti de Martiis LEI & BRICK - Laboratory of Economics of Innovation "Franco Momigliano", Bureau of Research in Innovation, Complexity and Knowledge, Collegio 201018, University of Turin.

    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:spr:scient:v:128:y:2023:i:1:d:10.1007_s11192-022-04533-0. 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: Sonal Shukla or Springer Nature Abstracting and Indexing (email available below). General contact details of provider: http://www.springer.com .

    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.