期刊文献+

基于社会网络分析和文献计量学的新冠肺炎学术研究现状与特点研究 被引量:8

Status and Characteristics of COVID-19 Academic Research Based on Social Network Analysis and Bibliometrics
下载PDF
导出
摘要 为更好地了解新型冠状病毒肺炎研究现状与全球合作关系,利用社会网络分析和文献计量学方法,基于Web of Science数据库收录的相关文献,对期刊共引、国家与机构合作网络以及热点共现网络等进行可视化分析,从而探究相关学术研究的现状与特点。研究表明,中国的机构文献产出较多,但从网络角度分析节点性质后发现,英国等欧洲国家及美国的机构/学校等在网络中拥有更高的接近中心性或中介中心性。此外,新型冠状病毒肺炎研究除了在医学领域成为热点,已经扩散到神经学、公众健康等其他学科领域。本研究旨在为科研工作者和政策制定者客观掌握疫情发展趋势、开展合作研究,以及为各国探索全球公共卫生领域合作路径及应对重大疫情和公共卫生治理方案等提供参考。 In order to better understand the current status of COVID-19 research and global cooperation,based on Web of Science database,social network analysis and bibliometrics methods are used to make visual analysis of co-citation of journals,cooperation networks of countries and institutions,and co-occurrence networks of research hotspots,etc.and further to explore the current status and characteristics of related research.The results show that Chinese institutions produced much literature,but after analyzing the nature of nodes from the perspective of the network,it is found that the United Kingdom or some other European countries,and the institutions/schools in the United States have a higher degree of closeness centrality or betweenness centrality in the network.In addition,besides being a hot spot in the medical field,research on COVID-19 has spread to other disciplines such as neurology and occupational health.This study can help scientific researchers and policy makers to objectively grasp the development trend of the epidemic situation and to carry out cooperative research.It will provide reference for countries to explore global cooperation in the field of public health and to improve the response to major epidemics and public health governance plans.
作者 张生太 宣雅迪 仇泸毅 刘娜 ZHANG Sheng-tai;XUAN Ya-di;QIU Lu-yi;LIU Na(School of Economics and Management,Beijing University of Posts and Telecommunications,Beijing 100876,China)
出处 《北京邮电大学学报(社会科学版)》 2020年第5期87-98,124,共13页 Journal of Beijing University of Posts and Telecommunications(Social Sciences Edition)
关键词 新型冠状病毒肺炎 社会网络分析 文献计量 可视化分析 COVID-19 social network analysis bibliometrics visual analysis
  • 相关文献

参考文献19

二级参考文献257

共引文献2905

同被引文献120

引证文献8

二级引证文献53

相关作者

内容加载中请稍等...

相关机构

内容加载中请稍等...

相关主题

内容加载中请稍等...

浏览历史

内容加载中请稍等...
;
使用帮助 返回顶部