摘要
在大数据背景与国际视野下,公共卫生事件传播与扩散迅猛、猝不及防,易引发公众的焦虑、愤怒、悲伤、恐惧等负面情绪,加剧公众群体性恐慌。论文运用分析软件CiteSpace,以可视化科学知识图谱为基础,对2000—2019年中国知网数据库(CNKI)中关于公共卫生事件研究的678篇文献进行共词分析和共现分析,包括发文量趋势分析、核心作者分析、最高被引量分析、关键词总体分析、发文时区分析等,意图呈现我国公共卫生事件研究的发展进程及前沿态势,探索研究不足和可拓展的研究空间。
Under the background of big data and the international perspective,public health incidents spread rapidly and caught off guard,which easily triggers public anxiety,anger,sadness,fear and other negative emotions,and exacerbates public panic.The paper uses the analysis software Cite Space,based on the visualized scientific knowledge map,to perform co-word analysis and co-occurrence analysis of 678 articles on public health event research in the China Knowledge Network Database(CNKI)from 2000 to 2019,including the trend analysis of the volume of articles,core author analysis,highest citation analysis,overall keyword analysis,post time zone analysis,etc.,in order to present the development process and frontier trend of public health event research in my country,and explore research deficiencies and expandable research space.
作者
罗坤瑾
张媛媛
黎准
LUO Kun-jin;ZHANG Yuan-yuan;LI Zhun
出处
《新闻大学》
CSSCI
北大核心
2021年第5期22-39,121,122,共20页
Journalism Research
基金
国家社会科学基金一般项目“重大公共卫生事件群体性恐慌度量模型与调适机制研究”(19BXW111)的阶段性成果。
