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Knowledge production and the structure of collaboration networks in two scientific fields

Author

Listed:
  • Dorothea Jansen

    (German Research Institute for Public Administration Speyer
    German University of Administrative Sciences Speyer)

  • Regina Görtz

    (German Research Institute for Public Administration Speyer)

  • Richard Heidler

    (German Research Institute for Public Administration Speyer)

Abstract

In this paper the relationship between knowledge production and the structure of research networks in two scientific fields is assessed. We investigate whether knowledge production corresponds positively or negatively with different types of social network structure. We show that academic fields generate knowledge in different ways and that within the fields, different types of networks act as a stimulant for knowledge generation.

Suggested Citation

  • Dorothea Jansen & Regina Görtz & Richard Heidler, 2010. "Knowledge production and the structure of collaboration networks in two scientific fields," Scientometrics, Springer;Akadémiai Kiadó, vol. 83(1), pages 219-241, April.
    • Handle: RePEc:spr:scient:v:83:y:2010:i:1:d:10.1007_s11192-009-0022-1
    DOI: 10.1007/s11192-009-0022-1
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    2. Alfonso Ávila-Robinson & Shintaro Sengoku, 2017. "Tracing the knowledge-building dynamics in new stem cell technologies through techno-scientific networks," Scientometrics, Springer;Akadémiai Kiadó, vol. 112(3), pages 1691-1720, September.
    3. Nadine V. Kegen, 2015. "Cohesive subgroups in academic networks: unveiling clique integration of top-level female and male researchers," Scientometrics, Springer;Akadémiai Kiadó, vol. 103(3), pages 897-922, June.
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    5. Fernando Martín-Alcázar & Marta Ruiz-Martínez & Gonzalo Sánchez-Gardey, 2019. "Assessing social capital in academic research teams: a measurement instrument proposal," Scientometrics, Springer;Akadémiai Kiadó, vol. 121(2), pages 917-935, November.
    6. Guijie Zhang & Luning Liu & Fangfang Wei, 2019. "Key nodes mining in the inventor–author knowledge diffusion network," Scientometrics, Springer;Akadémiai Kiadó, vol. 118(3), pages 721-735, March.
    7. Lauto, Giancarlo & Valentin, Finn, 2016. "The knowledge production model of the New Sciences: The case of Translational Medicine," Technological Forecasting and Social Change, Elsevier, vol. 111(C), pages 12-21.
    8. Itay Mayrose & Shiri Freilich, 2015. "The Interplay between Scientific Overlap and Cooperation and the Resulting Gain in Co-Authorship Interactions," PLOS ONE, Public Library of Science, vol. 10(9), pages 1-10, September.
    9. Tai Quan Peng & Zhen-Zhen Wang, 2013. "Network closure, brokerage, and structural influence of journals: a longitudinal study of journal citation network in Internet research (2000–2010)," Scientometrics, Springer;Akadémiai Kiadó, vol. 97(3), pages 675-693, December.
    10. Guijie Zhang & Luning Liu & Yuqiang Feng & Zhen Shao & Yongli Li, 2014. "Cext-N index: a network node centrality measure for collaborative relationship distribution," Scientometrics, Springer;Akadémiai Kiadó, vol. 101(1), pages 291-307, October.
    11. Kamal Badar & Julie M. Hite & Yuosre F. Badir, 2013. "Examining the relationship of co-authorship network centrality and gender on academic research performance: the case of chemistry researchers in Pakistan," Scientometrics, Springer;Akadémiai Kiadó, vol. 94(2), pages 755-775, February.
    12. Omwoyo Bosire Onyancha & Jan Resenga Maluleka, 2011. "Knowledge production through collaborative research in sub-Saharan Africa: how much do countries contribute to each other’s knowledge output and citation impact?," Scientometrics, Springer;Akadémiai Kiadó, vol. 87(2), pages 315-336, May.

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