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Springer Nature - PMC COVID-19 Collection logoLink to Springer Nature - PMC COVID-19 Collection
. 2022 Dec 26:1–11. Online ahead of print. doi: 10.1007/s12204-022-2558-7

Social Network Analysis of COVID-19 Research and the Changing International Collaboration Structure

Ye Qin 1, Rongrong Chen 2,✉
PMCID: PMC9791639  PMID: 36588798

Abstract

Research in Information Science and interdisciplinary areas suggested the formation of a growing network of international research collaboration. The massive transmission of COVID-19 worldwide especially after the identification of the Omicron variant could fundamentally alter the factors shaping the network’s development. This study employs network analysis methods to analyze the structure of the COVID-19 research collaboration from 2020 to 2022, using two major academic publication databases and the VOSviewer software. A novel temporal view is added by examining the dynamic changes of the network, and a fractional counting method is adopted as methodological improvements to previous research. Analysis reveals that the COVID-19 research network structure has undergone substantial changes over time, as collaborating countries and regions form and re-form new clusters. Transformations in the network can be partly explained by key developments in the pandemic and other social-political events. China as one of the largest pivots in the network formed a relatively distinct cluster, with potential to develop a larger Asia-Pacific collaboration cluster based on its research impact.

Key words: COVID-19, international research collaboration, network analysis, high interdisciplinary research

Footnotes

Foundation item: the Decision and Consultancy Research of Shanghai Jiao Tong University (No. JCZXZGB-01)

References

  • [1].WHO. Weekly epidemiological update on COVID-19 — 27 April 2022 [EB/OL]. (2022-04-27) [2022-05-20]. https://www.who.int/publications/m/item/weekly-epidemiological-update-on-covid-19—27-april-2022.
  • [2].Wang G H, Zhang Y T, Zhao J, et al. Mitigate the effects of home confinement on children during the COVID-19 outbreak [J] Journal of Shanghai Jiao Tong University (Medical Science) 2020;40(3):279–281. [Google Scholar]
  • [3].Nicola M, Alsafi Z, Sohrabi C, et al. The socio-economic implications of the coronavirus pandemic (COVID-19): A review [J] International Journal of Surgery. 2020;78:185–193. doi: 10.1016/j.ijsu.2020.04.018. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • [4].Pawar M V, Anuradha J, Pawar A M, et al. Healthcare informatics for fighting COVID-19 and future epidemics. Cham: Springer; 2022. COVID-19 epidemic impact on various society sectors [M] pp. 211–232. [Google Scholar]
  • [5].Wang X, Huang M, Wang H, et al. International Collaboration Activity Index: Case study of dye-sensitized solar cells [J] Journal of Informetrics. 2014;8(4):854–862. doi: 10.1016/j.joi.2014.08.004. [DOI] [Google Scholar]
  • [6].Boyack K W, Klavans R. Co-citation analysis, bibliographic coupling, and direct citation: Which citation approach represents the research front most accurately? [J] Journal of the American Society for Information Science and Technology. 2010;61(12):2389–2404. doi: 10.1002/asi.21419. [DOI] [Google Scholar]
  • [7].Wagner C S, Leydesdorff L. Mapping the network of global science: Comparing international coauthorships from 1990 to 2000 [J] International Journal of Technology and Globalisation. 2005;1(2):185. doi: 10.1504/IJTG.2005.007050. [DOI] [Google Scholar]
  • [8].Wu L F, Wang D S, Evans J A. Large teams develop and small teams disrupt science and technology [J] Nature. 2019;566(7744):378–382. doi: 10.1038/s41586-019-0941-9. [DOI] [PubMed] [Google Scholar]
  • [9].Adams J. The fourth age of research [J] Nature. 2013;497(7451):557–560. doi: 10.1038/497557a. [DOI] [PubMed] [Google Scholar]
  • [10].Wuchty S, Jones B F, Uzzi B. The increasing dominance of teams in production of knowledge [J] Science. 2007;316(5827):1036–1039. doi: 10.1126/science.1136099. [DOI] [PubMed] [Google Scholar]
  • [11].Chen K H, Zhang Y, Fu X L. International research collaboration: An emerging domain of innovation studies? [J] Research Policy. 2019;48(1):149–168. doi: 10.1016/j.respol.2018.08.005. [DOI] [Google Scholar]
  • [12].Wagner C S, Leydesdorff L. Network structure, self-organization, and the growth of international collaboration in science [J] Research Policy. 2005;34(10):1608–1618. doi: 10.1016/j.respol.2005.08.002. [DOI] [Google Scholar]
  • [13].Zhang L, Zhao W J, Sun B B, et al. How scientific research reacts to international public health emergencies: A global analysis of response patterns [J] Scientometrics. 2020;124(1):747–773. doi: 10.1007/s11192-020-03531-4. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • [14].Lee J J, Haupt J P. Scientific globalism during a global crisis: Research collaboration and open access publications on COVID-19 [J] Higher Education. 2021;81(5):949–966. doi: 10.1007/s10734-020-00589-0. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • [15].Yang Z T, Gao W Y, Liang J, et al. Experience of emergency department of large tertiary general hospital in coping with epidemic outbreak of COVID-19 [J] Journal of Shanghai Jiao Tong University (Medical Science) 2020;40(4):417–421. [Google Scholar]
  • [16].Kraemer M U G, Yang C H, Gutierrez B, et al. The effect of human mobility and control measures on the COVID-19 epidemic in China [J] Science. 2020;368(6490):493–497. doi: 10.1126/science.abb4218. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • [17].Borkowski P, Jażdżewska-Gutta M, Szmelter-Jarosz A. Lockdowned: Everyday mobility changes in response to COVID-19 [J] Journal of Transport Geography. 2021;90:102906. doi: 10.1016/j.jtrangeo.2020.102906. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • [18].Lee J J, Haupt J P. Scientific collaboration on COVID-19 amidst geopolitical tensions between the US and China [J] The Journal of Higher Education. 2021;92(2):303–329. doi: 10.1080/00221546.2020.1827924. [DOI] [Google Scholar]
  • [19].Aristovnik A, Ravšelj D, Umek L. A bibliometric analysis of COVID-19 across science and social science research landscape [J] Sustainability. 2020;12(21):9132. doi: 10.3390/su12219132. [DOI] [Google Scholar]
  • [20].Ho Y S, Fu H Z, Mckay D. A bibliometric analysis of COVID-19 publications in the ten psychology-related Web of Science categories in the social science citation index [J] Journal of Clinical Psychology. 2021;77(12):2832–2848. doi: 10.1002/jclp.23227. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • [21].Belli S, Mugnaini R, Baltà J, et al. Coronavirus mapping in scientific publications: When science advances rapidly and collectively, is access to this knowledge open to society? [J] Scientometrics. 2020;124(3):2661–2685. doi: 10.1007/s11192-020-03590-7. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • [22].Sachini E, Sioumalas-Christodoulou K, Chrysomallidis C, et al. COVID-19 enabled co-authoring networks: A country-case analysis [J] Scientometrics. 2021;126(6):5225–5244. doi: 10.1007/s11192-021-03952-9. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • [23].Liu L H, Iketani S, Guo Y C, et al. Striking antibody evasion manifested by the Omicron variant of SARS-CoV-2 [J] Nature. 2022;602(7898):676–681. doi: 10.1038/s41586-021-04388-0. [DOI] [PubMed] [Google Scholar]
  • [24].Perianes-Rodriguez A, Waltman L, Van Eck N J. Constructing bibliometric networks: A comparison between full and fractional counting [J] Journal of Informetrics. 2016;10(4):1178–1195. doi: 10.1016/j.joi.2016.10.006. [DOI] [Google Scholar]
  • [25].Burt R S, Kilduff M, Tasselli S. Social network analysis: Foundations and frontiers on advantage [J] Annual Review of Psychology. 2013;64:527–547. doi: 10.1146/annurev-psych-113011-143828. [DOI] [PubMed] [Google Scholar]
  • [26].Scott J, Carrington P. The SAGE handbook of social network analysis [M] London: SAGE; 2011. [Google Scholar]
  • [27].Van Eck N J, Waltman L. Software survey: VOSviewer, a computer program for bibliometric mapping [J] Scientometrics. 2010;84(2):523–538. doi: 10.1007/s11192-009-0146-3. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • [28].Ding Y, Rousseau R, Wolfram D. Measuring scholarly impact [M] Cham: Springer; 2014. [Google Scholar]
  • [29].Jaffe K, Ter Horst E, Gunn L H, et al. A network analysis of research productivity by country, discipline, and wealth [J] PLoS ONE. 2020;15(5):e0232458. doi: 10.1371/journal.pone.0232458. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • [30].Niu F G, Qiu J P. Network structure, distribution and the growth of Chinese international research collaboration [J] Scientometrics. 2014;98(2):1221–1233. doi: 10.1007/s11192-013-1170-x. [DOI] [Google Scholar]
  • [31].Newman M E. The structure of scientific collaboration networks [J] Proceedings of the National Academy of Sciences of the United States of America. 2001;98(2):404–409. doi: 10.1073/pnas.98.2.404. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • [32].Li J, Li Y T. Patterns and evolution of coauthorship in China’s humanities and social sciences [J] Scientometrics. 2015;102(3):1997–2010. doi: 10.1007/s11192-014-1471-8. [DOI] [Google Scholar]
  • [33].Aksnes D W. Citation rates and perceptions of scientific contribution [J] Journal of the American Society for Information Science and Technology. 2006;57(2):169–185. doi: 10.1002/asi.20262. [DOI] [Google Scholar]
  • [34].Van Eck N J, Waltman L, Dekker R, et al. A comparison of two techniques for bibliometric mapping: Multidimensional scaling and VOS [J] Journal of the American Society for Information Science and Technology. 2010;61(12):2405–2416. doi: 10.1002/asi.21421. [DOI] [Google Scholar]
  • [35].Borg I, Groenen P. Modern multidimensional scaling: Theory and applications [J] Journal of Educational Measurement. 2003;40(3):277–280. doi: 10.1111/j.1745-3984.2003.tb01108.x. [DOI] [Google Scholar]
  • [36].Newman M E J, Girvan M. Finding and evaluating community structure in networks [J] Physical Review E, Statistical, Nonlinear, and Soft Matter Physics. 2004;69:026113. doi: 10.1103/PhysRevE.69.026113. [DOI] [PubMed] [Google Scholar]
  • [37].Bornmann L, Haunschild R. An empirical look at the nature index [J] Journal of the Association for Information Science and Technology. 2017;68(3):653–659. doi: 10.1002/asi.23682. [DOI] [Google Scholar]
  • [38].Araf Y, Akter F, Tang Y D, et al. Omicron variant of SARS-CoV-2: Genomics, transmissibility, and responses to current COVID-19 vaccines [J] Journal of Medical Virology. 2022;94(5):1825–1832. doi: 10.1002/jmv.27588. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • [39].WHO. COVID-19 Dashboard [EB/OL]. (2022-05-18) [2022-05-20]. https://covid19.who.int/.
  • [40].Planas D, Saunders N, Maes P, et al. Considerable escape of SARS-CoV-2 omicron to antibody neutralization [J] Nature. 2022;602(7898):671–675. doi: 10.1038/s41586-021-04389-z. [DOI] [PubMed] [Google Scholar]
  • [41].Chen J H, Wang R, Gilby N B, et al. Omicron variant (B.1.1.529): Infectivity, vaccine breakthrough, and antibody resistance [J] Journal of Chemical Information and Modeling. 2022;62(2):412–422. doi: 10.1021/acs.jcim.1c01451. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • [42].Ahmad F B, Anderson R N. The leading causes of death in the US for 2020 [J] JAMA. 2021;325(18):1829. doi: 10.1001/jama.2021.5469. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • [43].Plümper T, Neumayer E. Lockdown policies and the dynamics of the first wave of the Sars-CoV-2 pandemic in Europe [J] Journal of European Public Policy. 2022;29(3):321–341. doi: 10.1080/13501763.2020.1847170. [DOI] [Google Scholar]
  • [44].Niu X S. International scientific collaboration between Australia and China: A mixed-methodology for investigating the social processes and its implications for national innovation systems [J] Technological Forecasting and Social Change. 2014;85:58–68. doi: 10.1016/j.techfore.2013.10.014. [DOI] [Google Scholar]
  • [45].Luukkonen T, Persson O, Sivertsen G. Understanding patterns of international scientific collaboration [J] Science, Technology, & Human Values. 1992;17(1):101–126. doi: 10.1177/016224399201700106. [DOI] [Google Scholar]
  • [46].Lau H, Khosrawipour V, Kocbach P, et al. The positive impact of lockdown in Wuhan on containing the COVID-19 outbreak in China [J] Journal of Travel Medicine. 2020;27(3):taaa037. doi: 10.1093/jtm/taaa037. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • [47].Mongeon P, Paul-Hus A. The journal coverage of Web of Science and Scopus: A comparative analysis [J] Scientometrics. 2016;106(1):213–228. doi: 10.1007/s11192-015-1765-5. [DOI] [Google Scholar]
  • [48].Katz J S, Martin B R. What is research collaboration? [J] Research Policy. 1997;26(1):1–18. doi: 10.1016/S0048-7333(96)00917-1. [DOI] [Google Scholar]
  • [49].Davies B, Gush J, Hendy S C, et al. Research funding and collaboration [J] Research Policy. 2022;51(2):104421. doi: 10.1016/j.respol.2021.104421. [DOI] [Google Scholar]
  • [50].WALKER N. Brexit timeline: Events leading to the UK’s exit from the European Union [EB/OL]. (2021-01-06) [2022-05-20]. https://commonslibrary.parliament.uk/research-briefings/cbp-7960/.
  • [51].Wen J, Kozak M, Yang S H, et al. COVID-19: Potential effects on Chinese citizens’ lifestyle and travel [J] Tourism Review. 2021;76(1):74–87. doi: 10.1108/TR-03-2020-0110. [DOI] [Google Scholar]

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