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Evolution and structure of scientific co-publishing network in Korea between 1948–2011

Author

Listed:
  • Jinseok Kim

    (University of Illinois at Urbana-Champaign)

  • Liang Tao

    (University of Illinois at Urbana-Champaign)

  • Seok-Hyoung Lee

    (Korea Institute of Science and Technology Information)

  • Jana Diesner

    (University of Illinois at Urbana-Champaign)

Abstract

This study investigates the evolution and structure of a national-scale co-publishing network in Korea from 1948 to 2011. We analyzed more than 700,000 papers published by approximately 415,000 authors for temporal changes in productivity and network properties with a yearly resolution. The resulting statistical properties were compared to findings from previous studies of coauthorship networks at the national and discipline levels. Our results show that both the numbers of publications and authors in Korea have grown exponentially in a 64 year time frame. Korean scholars have become more productive and collaborative. They now form a small-world-ish network where most authors can connect with one other within an average of 5.33 degrees of separation. The increasingly skewed distribution and concentration of both productivity and the number of collaborators per author indicate that a relatively small group of individuals have accumulated a large number of opportunities for co-publishing. This implies a potential vulnerability for the network and its wider context: the graph would disintegrate into a multitude of smaller components, where the largest one would contain

Suggested Citation

  • 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.
    • Handle: RePEc:spr:scient:v:107:y:2016:i:1:d:10.1007_s11192-016-1878-5
    DOI: 10.1007/s11192-016-1878-5
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    References listed on IDEAS

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    Cited by:

    1. Andrej Kastrin & Jelena Klisara & Borut Lužar & Janez Povh, 2017. "Analysis of Slovenian research community through bibliographic networks," Scientometrics, Springer;Akadémiai Kiadó, vol. 110(2), pages 791-813, February.
    2. Xuan Shi & Lingfei Cai & Junzhi Jia, 2018. "The Evolution of International Scientific Collaboration in Fuel Cells during 1998–2017: A Social Network Perspective," Sustainability, MDPI, vol. 10(12), pages 1-20, December.
    3. Andrej Kastrin & Jelena Klisara & Borut Lužar & Janez Povh, 2018. "Is science driven by principal investigators?," Scientometrics, Springer;Akadémiai Kiadó, vol. 117(2), pages 1157-1182, November.
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    5. Sichao Tong & Per Ahlgren, 2017. "Evolution of three Nobel Prize themes and a Nobel snub theme in chemistry: a bibliometric study with focus on international collaboration," Scientometrics, Springer;Akadémiai Kiadó, vol. 112(1), pages 75-90, July.
    6. Jinseok Kim & Jana Diesner, 2019. "Formational bounds of link prediction in collaboration networks," Scientometrics, Springer;Akadémiai Kiadó, vol. 119(2), pages 687-706, May.

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