Network Structure and Community Evolution Online: Behavioral and Emotional Changes in Response to COVID-19.

ABSTRACT: Background: The measurement and identification of changes in the social structure in response to an exceptional event like COVID-19 can facilitate a more informed public response to the pandemic and provide fundamental insights on how collective social processes respond to extreme events. Objective: In this study, we built a generalized framework for applying social media data to understand public behavioral and emotional changes in response to COVID-19. Methods: Utilizing a complete dataset of Sina Weibo posts published by users in Wuhan from December 2019 to March 2020, we constructed a time-varying social network of 3.5 million users. In combination with community detection, text analysis, and sentiment analysis, we comprehensively analyzed the evolution of the soci

SUBMITTER: Fang F 

PROVIDER: S-EPMC8787074 | biostudies-literature | 2021

REPOSITORIES: biostudies-literature