首页|Social Network Analysis of COVID-19 Research and the Changing International Collaboration Structure
Social Network Analysis of COVID-19 Research and the Changing International Collaboration Structure
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NETL
NSTL
万方数据
维普
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.
COVID-19international research collaborationnetwork analysishigh interdisciplinary research
NETL
NSTL
万方数据
维普
