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Measuring the relative intensity of collaboration within a network

Author

Listed:
  • Joel Emanuel Fuchs

    (University of Wuppertal)

  • Gunnar Sivertsen

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

  • Ronald Rousseau

    (University of Antwerp
    KU Leuven)

Abstract

In research fields like informetrics or patent research, international comparisons are part of their core business. One class of measures used in such comparisons consists of affinity indices. Here, relations of shares are calculated to express the relation between two actors X and Y. Even though this group of affinity indices already has many members, we think that based on pure logic, they still miss the point. For this reason, we introduce the RIC index. This index compares two shares: the share of actor Y within a given set X to the share of Y within the complement of X. After motivating and introducing this new index, we show some of its basic characteristics, the most interesting one being that increased collaboration between two countries leads to an increase in the value of RIC. Moreover, this index is asymmetric. The RIC index is illustrated with the examples of China and the USA within the global network of collaboration 2000–2020.

Suggested Citation

  • 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.
    • Handle: RePEc:spr:scient:v:126:y:2021:i:10:d:10.1007_s11192-021-04110-x
    DOI: 10.1007/s11192-021-04110-x
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    References listed on IDEAS

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    1. Rousseau, Ronald & Yang, Liying, 2012. "Reflections on the activity index and related indicators," Journal of Informetrics, Elsevier, vol. 6(3), pages 413-421.
    2. 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.
    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.
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    Cited by:

    1. 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.
    2. 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).
    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. 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.
    5. Weishu Liu & Ruifeng Zhang, 2024. "Multilateral co-authorship: an important but easily overlooked pattern in international scientific collaboration research," Scientometrics, Springer;Akadémiai Kiadó, vol. 129(7), pages 4661-4668, July.
    6. 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.
    7. 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).

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