IDEAS home Printed from https://ideas.repec.org/a/eee/infome/v18y2024i1s1751157724000014.html
   My bibliography  Save this article

Validity and bias of indicators of international collaboration: A theoretical analysis with an empirical study of Ukraine-Russia-United States and China-United States

Author

Listed:
  • Smolinsky, Lawrence
  • Yang, Seungwon

Abstract

We examine three indicators that give a relative measure of collaborations between countries and introduce a fourth indicator. Of the three established indicators, the Asymmetric Observed to Expected Ratio (AOER-indicator) and the symmetric Observed to Expected Ratio (OER-indicator) have received criticism for some specific theoretical situations. The AOER fails as both a meaningful statistic and an indicator. The OER is a meaningful statistic but fails as an indicator. The Relative Intensity of Collaboration (RIC-indicator) is relatively recent measure that is a meaningful standard statistic and passes Rousseau's criterion for an indicator. The new indicator is the Odds Ratio of Collaboration (ORC-indicator). It is a symmetric and meaningful standard statistic that passes Rousseau's criterion for an indicator. We give interpretations for all four indicators to give a systematic comparison that recommends the RIC and ORC. We then compare them in analyzing some specific dynamic developments over a 20-year period: The Ukraine-Russia-United States relationship and the China-United States relationship. We believe the analysis illustrates the value of the RIC, the inadequacies of the AOER, and is interesting analysis of its own accord.

Suggested Citation

  • 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).
    • Handle: RePEc:eee:infome:v:18:y:2024:i:1:s1751157724000014
    DOI: 10.1016/j.joi.2024.101488
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S1751157724000014
    Download Restriction: Full text for ScienceDirect subscribers only
    File URL: https://libkey.io/10.1016/j.joi.2024.101488?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. 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.
    3. András Schubert & Wolfgang Glänzel, 2006. "Cross-national preference in co-authorship, references and citations," Scientometrics, Springer;Akadémiai Kiadó, vol. 69(2), pages 409-428, November.
    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. Guillermo Armando Ronda-Pupo, 2024. "The dynamics of Cuban international scientific collaboration: a scientometric analysis over a century," Scientometrics, Springer;Akadémiai Kiadó, vol. 129(9), pages 5211-5226, September.

    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. 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.
    2. Sandra Miguel & Claudia M. González & Zaida Chinchilla-Rodríguez, 2024. "Towards a new approach to analyzing the geographical scope of national research. An exploratory analysis at the country level," Scientometrics, Springer;Akadémiai Kiadó, vol. 129(7), pages 3659-3679, July.
    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. Jiang Wu, 2013. "Geographical knowledge diffusion and spatial diversity citation rank," Scientometrics, Springer;Akadémiai Kiadó, vol. 94(1), pages 181-201, January.
    5. Reinhilde Veugelers, 2010. "Towards a multipolar science world: trends and impact," Scientometrics, Springer;Akadémiai Kiadó, vol. 82(2), pages 439-456, February.
    6. S. Varun Shrivats & Sujit Bhattacharya, 2014. "Forecasting the trend of international scientific collaboration," Scientometrics, Springer;Akadémiai Kiadó, vol. 101(3), pages 1941-1954, December.
    7. Jinseok Kim & Liang Tao & Seok-Hyoung Lee & Jana Diesner, 2016. "Evolution and structure of scientific co-publishing network in Korea between 1948–2011," Scientometrics, Springer;Akadémiai Kiadó, vol. 107(1), pages 27-41, April.
    8. Julia Melkers & Agrita Kiopa, 2010. "The Social Capital of Global Ties in Science: The Added Value of International Collaboration," Review of Policy Research, Policy Studies Organization, vol. 27(4), pages 389-414, July.
    9. Maxim Kotsemir, 2012. "Dynamics of Russian and World Science through the Prism of International Publications," Foresight and STI Governance (Foresight-Russia till No. 3/2015), National Research University Higher School of Economics, vol. 6(1), pages 38-58.
    10. 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.
    11. Alexander Sokolov & Sergey Shashnov & Maxim Kotsemir, 2021. "From BRICS to BRICS plus: selecting promising areas of S&T Cooperation with developing countries," Scientometrics, Springer;Akadémiai Kiadó, vol. 126(11), pages 8815-8859, November.
    12. Sujin Choi, 2012. "Core-periphery, new clusters, or rising stars?: international scientific collaboration among ‘advanced’ countries in the era of globalization," Scientometrics, Springer;Akadémiai Kiadó, vol. 90(1), pages 25-41, January.
    13. 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).
    14. Marc Correa & Lucinio González-Sabaté & Ignacio Serrano, 2013. "Home bias effect in the management literature," Scientometrics, Springer;Akadémiai Kiadó, vol. 95(1), pages 417-433, April.
    15. 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.
    16. Lei Wang & Bart Thijs & Wolfgang Glänzel, 2015. "Characteristics of international collaboration in sport sciences publications and its influence on citation impact," Scientometrics, Springer;Akadémiai Kiadó, vol. 105(2), pages 843-862, November.
    17. Ugo Finardi, 2015. "Scientific collaboration between BRICS countries," Scientometrics, Springer;Akadémiai Kiadó, vol. 102(2), pages 1139-1166, February.
    18. Tatiana Plotnikova & Bastian Rake, 2014. "Collaboration in pharmaceutical research: exploration of country-level determinants," Scientometrics, Springer;Akadémiai Kiadó, vol. 98(2), pages 1173-1202, February.
    19. Zhihui Zhang & Jason E. Rollins & Evangelia Lipitakis, 2018. "China’s emerging centrality in the contemporary international scientific collaboration network," Scientometrics, Springer;Akadémiai Kiadó, vol. 116(2), pages 1075-1091, August.
    20. Máxima Bolaños-Pizarro & Bart Thijs & Wolfgang Glänzel, 2010. "Cardiovascular research in Spain. A comparative scientometric study," Scientometrics, Springer;Akadémiai Kiadó, vol. 85(2), pages 509-526, November.

    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:18:y:2024:i:1:s1751157724000014. 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.