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Global village or virtual balkans? evolution and performance of scientific collaboration in the information age

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  • Xinlin Yao
  • Cheng Zhang
  • Zhe Qu
  • Bernard C.Y. Tan

Abstract

Scientific collaboration is essential and almost imperative in modern science. However, collaboration may be difficult to achieve because of 2 major barriers: geographic distance and social divides. It is predicted that the advancement of information communication technologies (ICTs) will bring a puzzled conclusion for collaboration in the scientific community: the “Global Village” trend with significantly increased physical distance among collaborated scientists and the “Virtual Balkans” trend with significantly increased social stratification among collaborated scientists. The results of this study reveal that the scientific community evolves towards the Global Village generally on both the geographic and social dimension, but with variations in term of collaboration patterns. The influence of such collaboration patterns on research performance (that is, productivity and impact), however, is asymmetric to each side of collaborators. When researchers from top‐tier and general‐tier institutions collaborate, researchers from top‐tier institutions face a decrease in research productivity and impact, whereas researchers from general‐tier institutions increase in research productivity and impact. Furthermore, the development of ICTs plays an important role in shaping the evolving trends and moderating effects of collaboration patterns. Our findings provide a comprehensive understanding of scientific collaboration in the geographic, social, and technological aspect.

Suggested Citation

  • Xinlin Yao & Cheng Zhang & Zhe Qu & Bernard C.Y. Tan, 2020. "Global village or virtual balkans? evolution and performance of scientific collaboration in the information age," Journal of the Association for Information Science & Technology, Association for Information Science & Technology, vol. 71(4), pages 395-408, April.
    • Handle: RePEc:bla:jinfst:v:71:y:2020:i:4:p:395-408
    DOI: 10.1002/asi.24251
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    Cited by:

    1. Xuli Tang & Xin Li & Feicheng Ma, 2022. "Internationalizing AI: evolution and impact of distance factors," Scientometrics, Springer;Akadémiai Kiadó, vol. 127(1), pages 181-205, January.
    2. Yu, Shuo & Alqahtani, Fayez & Tolba, Amr & Lee, Ivan & Jia, Tao & Xia, Feng, 2022. "Collaborative Team Recognition: A Core Plus Extension Structure," Journal of Informetrics, Elsevier, vol. 16(4).

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