A New Geo-Propagation Model of Event Evolution Chain Based on Public Opinion and Epidemic Coupling

Abstract

The online public opinion is the sum of public views, attitudes and emotions spread on major public health emergencies through the Internet, which maps out the scope of influence and the disaster situation of public health events in real space. Based on the multi-source data of COVID-19 in the context of a global pandemic, this paper analyzes the propagation rules of disasters in the coupling of the spatial dimension of geographic reality and the dimension of network public opinion, and constructs a new gravity model-complex network-based geographic propagation model of the evolution chain of typical public health events. The strength of the model is that it quantifies the extent of the impact of the epidemic area on the surrounding area and the spread of the epidemic, constructing an interaction between the geographical reality dimension and online public opinion dimension. The results show that: The heterogeneity in the direction of social media discussions before and after the “closure” of Wuhan is evident, with the center of gravity clearly shifting across the Yangtze River and the cyclical changing in public sentiment; the network model based on the evolutionary chain has a significant community structure in geographic space, divided into seven regions with a modularity of 0.793; there are multiple key infection trigger nodes in the network, with a spatially polycentric infection distribution.

Multi-stage Internet public opinion risk grading analysis of public health emergencies: An empirical study on Microblog in COVID-19

“…In summary, the existing researches on internet public opinion mainly focus on the emotional analysis on social media ( Shorey et al, 2020 , Yao et al, 2021 ), the cause analysis of public opinion ( Zhang et al, 2020 ) and rumor detection ( Li et al, 2021 , Xue et al, 2021 ). These studies have played a positive role in the prevention and control of rumors and the governance of public opinion.…”

“…On January 22, 2020, more than 100 cases were confirmed in a single day in Hubei Province. At 10 a.m. on January 23, 2020, Wuhan announced the closure of the city, suspended the operation of the subway, ferry, bus, and other public transport, temporarily closed the airport and railway station ( Zhang et al, 2020 ). In emergencies, because people are worried about their health and safety, Internet users will search more frequently for potential information that may threaten their health on the Internet ( Li, Wang et al, 2020 , McMullan et al, 2019 ).…”

“…With the advent of “we media era”, it means that anyone can become a speaker on the Internet, personal views are particularly prominent on the Internet ( Wang et al, 2019 ). Internet public opinion is the sum of people’s views, attitudes, and emotions about public health emergencies ( Zhang et al, 2020 ). The different views and opinions of the users on emergencies are essential factors for the formation of Internet public opinion.…”

Urban Fine-Grained Spatial Structure Detection Based on a New Traffic Flow Interaction Analysis Framework

“…The method unveils hierarchies of communities and allows to zoom within communities to discover sub-communities, sub-sub-communities, etc. It is, today, one of the most widely used methods for detecting communities and could take all the edge nodes into consideration and the community structure produced by it is hierarchical [27,35,36]. Evaluation of classification by this algorithm is based on modularity.…”

Internet Public Opinion Diffusion Mechanism in Public Health Emergencies: Based on Entropy Flow Analysis and Dissipative Structure Determination

“…In recent years, with the frequent occurrence of public health emergencies, research on Internet public opinion related to such events has also become an essential part of public health crisis management. The Internet public opinion describes the influence scope and disaster situation of public health events in the real space (1). Moreover, compared to traditional methods (systematic review and focus group study), analysis of online comments to news media reports is considered a faster and cheaper alternative while ensuring the breadth (2).…”