International Cooperation in Scientific Research during the COVID-19

被引：0
|
作者：
Li M. [1 ,2 ]
Yue X. [1 ,2 ]
Hu J. [1 ,2 ]
Wu Y. [3 ,4 ]
Min Y. [3 ,4 ]
Fu C. [1 ,2 ]
机构：
[1] Institute of Cyberspace Security, Zhejiang University of Technology, Hangzhou
[2] College of Information Engineering, Zhejiang University of Technology, Hangzhou
[3] Center for Computational Communication Research, Beijing Normal University, Zhuhai
[4] School of Journalism and Communication, Beijing Normal University, Haidian, Beijing
来源：
Dianzi Keji Daxue Xuebao/Journal of the University of Electronic Science and Technology of China | 2022年 / 51卷 / 06期
关键词：
COVID-19; Freshness; Regression discontinuity design; Scientific research cooperation;
D O I：
10.12178/1001-0548.2021378
中图分类号：
学科分类号：
摘要：
The research uses the network collaborative construction theory to construct a national scientific cooperation network during the COVID-19 epidemic period, aiming to describe the evolution patterns of scientific research cooperation and the impact on the cooperation during the epidemic period. From the perspective of the cooperation network, the research calculates the network features to investigate the evolution patterns of the scientific research cooperation network. The present work also calculates the national cooperation freshness to investigate the dynamic evolution of the cooperation center. Finally, the regression discontinuity design is used to estimate the impact of the epidemic on national scientific research cooperation. The results show that the outbreak of the epidemic strengthens the scientific research cooperation. Furthermore, China played an important role in the epidemic, especially in the early stage. Although the cooperation center has gradually shifted with the change of the affected areas, China is still an important collaborator. Finally, our work studies the cooperative behavior of countries during the epidemic through regression discontinuity design and finds that the epidemic has been promoting people's ability to cooperate in fighting against disasters. © 2022, Editorial Board of Journal of the University of Electronic Science and Technology of China. All right reserved.
引用
收藏
页码：928 / 936
页数：8
相关论文
共 38 条
  • [1] MYERS K R, THAM W Y, YIN Y, Et al., Unequal effects of the COVID-19 pandemic on scientists, Nature Human Behaviour, 4, 9, pp. 880-883, (2020)
  • [2] MALLAPATY S., Scientists' worlds will shrink in the wake of the pandemic, Nature, 582, 7811, pp. 169-171, (2020)
  • [3] LUI S, NGO H., An action pattern model of inter-firm cooperation, Journal of Management Studies, 42, 6, pp. 1123-1153, (2005)
  • [4] FU C, YUE X, SHEN B, Et al., Patterns of interest change in stack overflow, Scientific Reports, 12, 1, pp. 1-10, (2022)
  • [5] FU C, XIA Y, YUE X, Et al., A novel spatiotemporal behavior-enabled random walk strategy on online social platforms, IEEE Transactions on Computational Social Systems, 9, 3, pp. 807-817, (2022)
  • [6] WUCHTY S, JONES B F, UZZI B., The increasing dominance of teams in production of knowledge, Science, 316, 5827, pp. 1036-1039, (2007)
  • [7] LARIVIERE V, GINGRAS Y, SUGIMOTO C R, Et al., Team size matters: Collaboration and scientific impact since 1900, Journal of the Association for Information Science and Technology, 66, 7, pp. 1323-1332, (2015)
  • [8] LI J, YIN Y, FORTUNATO S, Et al., Scientific elite revisited: Patterns of productivity, collaboration, authorship and impact, Journal of the Royal Society Interface, 17, 165, (2020)
  • [9] JONES B F., The burden of knowledge and the ''death of the renaissance man'': Is innovation getting harder?, The Review of Economic Studies, 76, 1, pp. 283-317, (2009)
  • [10] BEAVER D B., Does collaborative research have greater epistemic authority?, Scientometrics, 60, 3, pp. 399-408, (2004)
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