情感地理学视角下新冠肺炎疫情网络关注度时空特征研究——以武汉为例

Research on the Temporal and Spatial Characteristics of Network Attention of COVID-19 from the Perspective of Emotional Geography:Taking Wuhan as an Example

情感地理研究存在地理空间格局复杂、时间和时空的复杂特征。通过网络爬虫获取微博大数据,基于情感认同,以网络关注度为切入点,运用Gephi聚类、可视化与情感分析法对文本词频、语义网络、情感等进行分析,重点剖析了武汉疫情、网络关注度及情感认同的时空变化特征。研究表明:1)武汉疫情呈现时间变化与由中心向四周递减的空间特征;2)国内对武汉疫情的网络关注度呈现区域分异、“凸型”时间变化与人群差异特征,且以积极情感认同为主;3)情感认同随武汉疫情“初—中—后”期变化呈现“普遍情感认同—积极情感认同—社会情感认同”的时间变化规律及与网络关注度相同的省际差异。对口援助武汉是调动社会情感认同的主要原因。

Emotional geography research has complex geospatial patterns,complex temporal processes and complex characteristics of time and space.We obtained big data on Weibo through the web crawler.Based on emotional identification and with network attention as the entry point,we utilized Gephi clustering,visualization and sentiment analysis to analyze the text word frequency,semantic network,emotion,etc.,and focused on analyzing the temporal and spatial characteristics of the Wuhan epidemic,network attention and emotional identification.The research showed that:1)The Wuhan epidemic showstemporal changes and spatial characteristics of decreasing from the center to the surroundings;2)The network attention to Wuhan's epidemic in China showsregional differences,“convex”temporal changes and group differences,and was mainly dominatd by positive emotional identification;3)The emotional identification vary with the Wuhan epidemic during the period of“early-mid-post”,showing the temporal pattern of“universal emotional identification-positive emotional identification-social emotional identification”and the same inter-provincial differences as network attention.Counterpart assistance to Wuhan was the main factor to mobilize social emotional identification.