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Mapping institutions and their weak ties in a specialty: A case study of cystic fibrosis body composition research

Author

Listed:
  • Liying Yang

    (National Science Library of Chinese Academy of Science)

  • Steven A. Morris

    (Baker-Hughes Inc.)

  • Elizabeth M. Barden

    (Barden Consulting)

Abstract

The paper demonstrates visualization technique that show the collaboration structure of institutions in the specialty and the researchers that function as weak ties among them. Institution names were extracted from the collection of papers and disambiguated using the Derwent Analytics (v1.2) software product. Institutions were clustered into collaboration groups based on their co-occurrence in papers. A crossmap of clustered institutions against research fronts, which were derived using bibliographic coupling analysis, shows the research fronts that specific institutions participate in, their collaborator institutions and the research fronts in which those collaborations occurred. A crossmap of institutions to author teams, derived from co-authorship analysis, reveals research teams in the specialty and their general institutional affiliation, and further identifies the researchers that function as weak ties and the institutions that they link. The case study reveals that the techniques introduced in this paper can be used to extract a large amount of useful information about institutions participating in a research specialty.

Suggested Citation

  • Liying Yang & Steven A. Morris & Elizabeth M. Barden, 2009. "Mapping institutions and their weak ties in a specialty: A case study of cystic fibrosis body composition research," Scientometrics, Springer;Akadémiai Kiadó, vol. 79(2), pages 421-434, May.
    • Handle: RePEc:spr:scient:v:79:y:2009:i:2:d:10.1007_s11192-009-0428-9
    DOI: 10.1007/s11192-009-0428-9
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    References listed on IDEAS

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    2. Ralph Hamann & Lulamile Makaula & Gina Ziervogel & Clifford Shearing & Alan Zhang, 2020. "Strategic Responses to Grand Challenges: Why and How Corporations Build Community Resilience," Journal of Business Ethics, Springer, vol. 161(4), pages 835-853, February.
    3. Mu-hsuan Huang & Chia-Pin Chang, 2015. "A comparative study on detecting research fronts in the organic light-emitting diode (OLED) field using bibliographic coupling and co-citation," Scientometrics, Springer;Akadémiai Kiadó, vol. 102(3), pages 2041-2057, March.
    4. Jiang Wu, 2013. "Geographical knowledge diffusion and spatial diversity citation rank," Scientometrics, Springer;Akadémiai Kiadó, vol. 94(1), pages 181-201, January.
    5. Ortega, José Luis & Aguillo, Isidro F., 2013. "Institutional and country collaboration in an online service of scientific profiles: Google Scholar Citations," Journal of Informetrics, Elsevier, vol. 7(2), pages 394-403.
    6. Mu-Hsuan Huang & Chia-Pin Chang, 2014. "Detecting research fronts in OLED field using bibliographic coupling with sliding window," Scientometrics, Springer;Akadémiai Kiadó, vol. 98(3), pages 1721-1744, March.
    7. Mu-Hsuan Huang & Chia-Pin Chang, 2016. "A comparative study on three citation windows for detecting research fronts," Scientometrics, Springer;Akadémiai Kiadó, vol. 109(3), pages 1835-1853, December.

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