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A network analysis of interdisciplinary research relationships: the Korean government’s R&D grant program

Author

Listed:
  • Chang Hoon Yang

    (Kwandong University)

  • Han Woo Park

    (YeungNam University)

  • Jungeun Heo

    (National Research Foundation of Korea)

Abstract

This study examines network topologies of interdisciplinary research relationships in science and technology (S&T) and investigates the relational linkages between the interdisciplinary relations and the quality of research performance. A network analysis was performed to evaluate the General Research Grant (GRG) program, an interdisciplinary research funding program of the Korea Science and Engineering Foundation (KOSEF); the dataset covered the 2002–2004 period. The analytical results reveal the hidden network structure of interdisciplinary research relationships and demonstrate that the quality of research performance might be enhanced not only by interdependent pressures placed on various research fields but also by accumulated research capabilities that are relatively difficult to access and reproduce by other research fields.

Suggested Citation

  • Chang Hoon Yang & Han Woo Park & Jungeun Heo, 2010. "A network analysis of interdisciplinary research relationships: the Korean government’s R&D grant program," Scientometrics, Springer;Akadémiai Kiadó, vol. 83(1), pages 77-92, April.
    • Handle: RePEc:spr:scient:v:83:y:2010:i:1:d:10.1007_s11192-010-0157-0
    DOI: 10.1007/s11192-010-0157-0
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    References listed on IDEAS

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    Cited by:

    1. Richarz, Jan & Wegewitz, Stephan & Henn, Sarah & Müller, Dirk, 2023. "Graph-based research field analysis by the use of natural language processing: An overview of German energy research," Technological Forecasting and Social Change, Elsevier, vol. 186(PB).
    2. Huang, Lu & Chen, Xiang & Ni, Xingxing & Liu, Jiarun & Cao, Xiaoli & Wang, Changtian, 2021. "Tracking the dynamics of co-word networks for emerging topic identification," Technological Forecasting and Social Change, Elsevier, vol. 170(C).
    3. Chen Liu & Wei Shan & Jing Yu, 2011. "Shaping the interdisciplinary knowledge network of China: a network analysis based on citation data from 1981 to 2010," Scientometrics, Springer;Akadémiai Kiadó, vol. 89(1), pages 89-106, October.
    4. Shengli Deng & Sudi Xia, 2020. "Mapping the interdisciplinarity in information behavior research: a quantitative study using diversity measure and co-occurrence analysis," Scientometrics, Springer;Akadémiai Kiadó, vol. 124(1), pages 489-513, July.
    5. Moosung Lee & Han Woo Park, 2012. "Exploring the web visibility of world-class universities," Scientometrics, Springer;Akadémiai Kiadó, vol. 90(1), pages 201-218, January.
    6. Matthew A. Shapiro & Han Woo Park, 2012. "Regional development in South Korea: accounting for research area in centrality and networks," Scientometrics, Springer;Akadémiai Kiadó, vol. 90(1), pages 271-287, January.
    7. Zhang, Yi & Wu, Mengjia & Miao, Wen & Huang, Lu & Lu, Jie, 2021. "Bi-layer network analytics: A methodology for characterizing emerging general-purpose technologies," Journal of Informetrics, Elsevier, vol. 15(4).
    8. Han Woo Park & Jungwon Yoon & Loet Leydesdorff, 2016. "The normalization of co-authorship networks in the bibliometric evaluation: the government stimulation programs of China and Korea," Scientometrics, Springer;Akadémiai Kiadó, vol. 109(2), pages 1017-1036, November.
    9. Show-Ling Jang & Yun-Chen Yu & Tzu-Ya Wang, 2011. "Emerging firms in an emerging field: an analysis of patent citations in electronic-paper display technology," Scientometrics, Springer;Akadémiai Kiadó, vol. 89(1), pages 259-272, October.

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