摘要
文章利用百度指数数据来研究疫情期间中国网民对于新型冠状病毒关注度的地理空间集聚性。通过百度指数平台获取研究数据,同时结合疫情实时监测数据、人口迁徙数据等,在时间上进行关注度趋势演变分析,在空间上采用空间自相关分析方法对我国31个省、自治区、直辖市(由于网络数据可得性问题,港澳台地区除外)公众对新型冠状病毒的关注度进行全局空间自相关分析和局部空间自相关分析,并利用相关分析方法对关注度时空演变的相关因素进行探讨。分析发现,我国公众对新型冠状病毒的关注度在时间上符合突发事件生命周期四阶段(起始、爆发、波动和长尾)演变规律,研究有助于政府提高信息供给效率,及时发现地理空间上的异常区域和强影响点,从而提供差异化区域相关政策引导,提升公共服务整体效果。
This paper uses Baidu index data of novel coronavirus to study the geographic spatial agglomeration of Chinese netizens'attention under public health emergencies.Through Baidu index platform to obtain research data,and combining with real-time epidemic monitoring data and population migration data,the trend evolution of attention degree was analyzed in time,and the global spatial autocorrelation analysis and local spatial autocorrelation analysis of public attention degree of novel coronavirus in 31 provinces(cities,districts)in China were carried out in space,and the related factors of time-space evolution of attention degree were discussed by using correlation analysis method.The analysis shows that the public's attention to novel coronavirus accords with the evolution law of four stages(beginning,outbreak,fluctuation and long tail)of emergency life cycle in time.The research helps the government to improve the efficiency of information supply,find out the abnormal areas and strong influence points in geographical space in time,and thus provide relevant policy guidance for differentiated areas and improve the overall public service effect.
作者
胡安琪
HU An-qi(Suzhou University of Science and Technology Library,Suzhou 215009,China)
出处
《大学图书情报学刊》
2021年第4期25-31,58,共8页
Journal of Academic Library and Information Science
基金
江苏省图书馆学会基金项目“健康信息服务供给主体及其社会共治研究——以健康信息素养教育为例”(20YB15)。
