新冠疫情下情绪的研究——基于CiteSpace的文献计量分析

Research on COVID-19 and Emotion—Bibliometric Analysis Based on CiteSpace

摘要: 以Web of Science数据库为数据来源，运用文件分析计量软件CiteSpace绘制新冠疫情后人们情绪领域的知识图谱，对该领域的年度发文统计、主要研究力量、合作关系、学科、期刊、研究前言与知识基础、研究热点与发展趋势进行系统分析。结果表明：中国在新冠疫情与情绪相关的研究中做出较大贡献；已形成小型合作团体，全球性合作并不多，但呈现增长趋势；研究主要集中在疫情下的特殊群体的情绪、机制、不良情绪的应对策略等。

Abstract: Based on the data of Web of Science, this study uses the document analysis and measurement software CiteSpace to map the knowledge map of people’s mood after COVID-19. Moreover, we make a systematic analysis on the annual distribution statistics, main research forces, cooperation relations, disciplines, periodicals, research prefaces and knowledge bases, research hotspots and development trends. The findings show that China has made great contributions to COVID-19’s research on emotion. Small cooperation groups have been formed. Although global cooperation is not much, it shows a growing trend. The research mainly focuses on the emotions, mechanisms and coping strategies of bad emotions of special groups under the epidemic situation.