溢出效应
指数随机图模型
中国
社交网络(社会语言学)
2019年冠状病毒病(COVID-19)
社会网络分析
微博
大流行
计量经济学
经济
社会化媒体
业务
计算机科学
随机图
图形
地理
微观经济学
医学
疾病
考古
理论计算机科学
病理
万维网
传染病(医学专业)
作者
Chien‐Chiang Lee,Chuan Zhang,Dan Ma
标识
DOI:10.1080/1540496x.2023.2178844
摘要
This study investigates the impact of the COVID-19 pandemic on economic uncertainty and its spillover network based on social network analysis. The study constructs the inter-provincial Chinese economic uncertainty spillover network using a mixed frequency dataset and the provincial social network using microblog user data. Furthermore, the temporal exponential random graph model is used to analyze the impact of COVID-19 and social network during three periods. The results show that the COVID-19 pandemic significantly affects China’s provincial economic uncertainty and social network significantly hinders economic uncertainty spillover networks. The inhibitory effect of social networks on uncertainty spillover network has regional heterogeneity, which is more significant in provinces severely affected by the pandemic and strictly controlled.
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