IDEAS home Printed from https://ideas.repec.org/a/spr/scient/v108y2016i1d10.1007_s11192-016-1952-z.html
   My bibliography  Save this article

Evolving cohesion metrics of a research network on rare diseases: a longitudinal study over 14 years

Author

Listed:
  • Carlos B. Amat

    (Institute of Innovation and Knowledge Management (Ingenio), CSIC and Universidad Politécnica de Valencia, Ciudad Politécnica de la Innovación)

  • François Perruchas

    (Institute of Innovation and Knowledge Management (Ingenio), CSIC and Universidad Politécnica de Valencia, Ciudad Politécnica de la Innovación)

Abstract

Research collaboration is necessary, rewarding, and beneficial. Cohesion between team members is related to their collective efficiency. To assess collaboration processes and their eventual outcomes, agencies need innovative methods—and social network approaches are emerging as a useful analytical tool. We identified the research output and citation data of a network of 61 research groups formally engaged in publishing rare disease research between 2000 and 2013. We drew the collaboration networks for each year and computed the global and local measures throughout the period. Although global network measures remained steady over the whole period, the local and subgroup metrics revealed a growing cohesion between the teams. Transitivity and density showed little or no variation throughout the period. In contrast the following points indicated an evolution towards greater network cohesion: the emergence of a giant component (which grew from just 30 % to reach 85 % of groups); the decreasing number of communities (following a tripling in the average number of members); the growing number of fully connected subgroups; and increasing average strength. Moreover, assortativity measures reveal that, after an initial period where subject affinity and a common geographical location played some role in favouring the connection between groups, the collaboration was driven in the final stages by other factors and complementarities. The Spanish research network on rare diseases has evolved towards a growing cohesion—as revealed by local and subgroup metrics following social network analysis.

Suggested Citation

  • Carlos B. Amat & François Perruchas, 2016. "Evolving cohesion metrics of a research network on rare diseases: a longitudinal study over 14 years," Scientometrics, Springer;Akadémiai Kiadó, vol. 108(1), pages 41-56, July.
  • Handle: RePEc:spr:scient:v:108:y:2016:i:1:d:10.1007_s11192-016-1952-z
    DOI: 10.1007/s11192-016-1952-z
    as

    Download full text from publisher

    File URL: http://link.springer.com/10.1007/s11192-016-1952-z
    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/s11192-016-1952-z?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. Bordons, María & Aparicio, Javier & González-Albo, Borja & Díaz-Faes, Adrián A., 2015. "The relationship between the research performance of scientists and their position in co-authorship networks in three fields," Journal of Informetrics, Elsevier, vol. 9(1), pages 135-144.
    2. Vincent Larivière & Yves Gingras & Cassidy R. Sugimoto & Andrew Tsou, 2015. "Team size matters: Collaboration and scientific impact since 1900," Journal of the Association for Information Science & Technology, Association for Information Science & Technology, vol. 66(7), pages 1323-1332, July.
    3. Grit Laudel, 2002. "What do we measure by co-authorships?," Research Evaluation, Oxford University Press, vol. 11(1), pages 3-15, April.
    4. Bettencourt, Luís M.A. & Kaiser, David I. & Kaur, Jasleen, 2009. "Scientific discovery and topological transitions in collaboration networks," Journal of Informetrics, Elsevier, vol. 3(3), pages 210-221.
    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. Hirokuni Mizoguchi & Shingo Kano, 2019. "Comparative analysis of correlations of research and development indicators for rare diseases among Japan, the US, and Europe," Scientometrics, Springer;Akadémiai Kiadó, vol. 120(2), pages 361-374, August.
    2. Nicolas Robinson-Garcia & Alvaro Cabezas-Clavijo & Evaristo Jiménez-Contreras, 2016. "Tracking the performance of an R&D programme in the biomedical sciences," Research Evaluation, Oxford University Press, vol. 25(3), pages 339-346.

    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. Marian-Gabriel Hâncean & Matjaž Perc & Jürgen Lerner, 2021. "The coauthorship networks of the most productive European researchers," Scientometrics, Springer;Akadémiai Kiadó, vol. 126(1), pages 201-224, January.
    2. Chao Lu & Yingyi Zhang & Yong‐Yeol Ahn & Ying Ding & Chenwei Zhang & Dandan Ma, 2020. "Co‐contributorship network and division of labor in individual scientific collaborations," Journal of the Association for Information Science & Technology, Association for Information Science & Technology, vol. 71(10), pages 1162-1178, October.
    3. Andrea Fronzetti Colladon & Ciriaco Andrea D’Angelo & Peter A. Gloor, 2020. "Predicting the future success of scientific publications through social network and semantic analysis," Scientometrics, Springer;Akadémiai Kiadó, vol. 124(1), pages 357-377, July.
    4. Qin Zhang & Juneman Abraham & Hui-Zhen Fu, 2020. "Collaboration and its influence on retraction based on retracted publications during 1978–2017," Scientometrics, Springer;Akadémiai Kiadó, vol. 125(1), pages 213-232, October.
    5. Eli Rudinow Saetnan & Richard Philip Kipling, 2016. "Evaluating a European knowledge hub on climate change in agriculture: Are we building a better connected community?," Scientometrics, Springer;Akadémiai Kiadó, vol. 109(2), pages 1057-1074, November.
    6. Abramo, Giovanni & D'Angelo, Ciriaco Andrea & Di Costa, Flavia, 2019. "Diversification versus specialization in scientific research: Which strategy pays off?," Technovation, Elsevier, vol. 82, pages 51-57.
    7. Cathelijn J F Waaijer & Benoît Macaluso & Cassidy R Sugimoto & Vincent Larivière, 2016. "Stability and Longevity in the Publication Careers of U.S. Doctorate Recipients," PLOS ONE, Public Library of Science, vol. 11(4), pages 1-15, April.
    8. Belén Álvarez-Bornstein & Adrián A. Díaz-Faes & María Bordons, 2019. "What characterises funded biomedical research? Evidence from a basic and a clinical domain," Scientometrics, Springer;Akadémiai Kiadó, vol. 119(2), pages 805-825, May.
    9. Gao, Qiang & Liang, Zhentao & Wang, Ping & Hou, Jingrui & Chen, Xiuxiu & Liu, Manman, 2021. "Potential index: Revealing the future impact of research topics based on current knowledge networks," Journal of Informetrics, Elsevier, vol. 15(3).
    10. Citron, Daniel T. & Way, Samuel F., 2018. "Network assembly of scientific communities of varying size and specificity," Journal of Informetrics, Elsevier, vol. 12(1), pages 181-190.
    11. Abramo, Giovanni & D'Angelo, Ciriaco Andrea & Di Costa, Flavia, 2021. "The scholarly impact of private sector research: A multivariate analysis," Journal of Informetrics, Elsevier, vol. 15(3).
    12. Gregorio González-Alcaide, 2021. "Bibliometric studies outside the information science and library science field: uncontainable or uncontrollable?," Scientometrics, Springer;Akadémiai Kiadó, vol. 126(8), pages 6837-6870, August.
    13. Seongkyoon Jeong & Jae Young Choi, 2012. "The taxonomy of research collaboration in science and technology: evidence from mechanical research through probabilistic clustering analysis," Scientometrics, Springer;Akadémiai Kiadó, vol. 91(3), pages 719-735, June.
    14. Giovanni Abramo & Ciriaco Andrea D'Angelo & Flavia Costa, 2012. "Identifying interdisciplinarity through the disciplinary classification of coauthors of scientific publications," Journal of the Association for Information Science & Technology, Association for Information Science & Technology, vol. 63(11), pages 2206-2222, November.
    15. Yves Gingras & Mahdi Khelfaoui, 2018. "Assessing the effect of the United States’ “citation advantage” on other countries’ scientific impact as measured in the Web of Science (WoS) database," Scientometrics, Springer;Akadémiai Kiadó, vol. 114(2), pages 517-532, February.
    16. Giovanni Abramo & Ciriaco Andrea D'Angelo & Flavia Di Costa, 2020. "The relative impact of private research on scientific advancement," Papers 2012.04908, arXiv.org.
    17. Jo Royle & Louisa Coles & Dorothy Williams & Paul Evans, 2007. "Publishing in international journals," Scientometrics, Springer;Akadémiai Kiadó, vol. 71(1), pages 59-86, April.
    18. van Rijnsoever, Frank J. & Hessels, Laurens K., 2011. "Factors associated with disciplinary and interdisciplinary research collaboration," Research Policy, Elsevier, vol. 40(3), pages 463-472, April.
    19. Giovanni Abramo & Ciriaco Andrea D’Angelo & Marco Solazzi, 2011. "The relationship between scientists’ research performance and the degree of internationalization of their research," Scientometrics, Springer;Akadémiai Kiadó, vol. 86(3), pages 629-643, March.
    20. Jordi Molas-Gallart & Pablo D’Este & Oscar Llopis & Ismael Rafols, 2016. "Towards an alternative framework for the evaluation of translational research initiatives," Research Evaluation, Oxford University Press, vol. 25(3), pages 235-243.

    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:108:y:2016:i:1:d:10.1007_s11192-016-1952-z. See general information about how to correct material in RePEc.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: . General contact details of provider: http://www.springer.com .

    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 hosted by the Research Division of the Federal Reserve Bank of St. Louis . RePEc uses bibliographic data supplied by the respective publishers.