A New Geo-Propagation Model of Event Evolution Chain Based on Public Opinion and Epidemic Coupling
Bibliographic Data
| ID | 15470766 |
|---|---|
| Authors | Yan Zhang (0000-0001-8460-2671, Wuhan University), Nengcheng Chen (0000-0002-3521-9972, Wuhan University), Wenying Du (0000-0002-3202-5128, Wuhan University, corresponding author), Shuang Yao (0009-0005-1196-757X, Wuhan University), Xiang Zheng (0000-0002-1880-650X, Wuhan University) |
| Year | 2020 |
| Volume | 17 |
| Issue | 24 |
| Pages | 9235-9235 |
| Publication date | 2020-12-10 |
| Open Access | Yes |
| Type | ARTICLE |
| Venue | International Journal of Environmental Research and Public Health (JOURNAL) |
| Journal identifiers | ISSN: 1661-7827 • E-ISSN: 1660-4601 |
| Publisher | Multidisciplinary Digital Publishing Institute (PUBLISHER • CH) |
| DOI | 10.3390/ijerph17249235 |
| PMID | 33321897 |
| OpenAlex | W3110677091 |
| Language | EN |
| Citations received | 10 |
| References cited | 43 |
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
Context (archaeology · Data science · Dimension (graph theory · Distance decay · Economic geography · Geography · Political science · Politics · Public opinion · Social media · World Wide Web · Complex Network Analysis Techniques · Computer Science · Law · Misinformation and Its Impacts · Opinion Dynamics and Social Influence
Risk identification and assessment of Internet public opinion on public emergencies based on Bayesian network and association rule mining
Internet Public Opinion Diffusion Mechanism in Public Health Emergencies
Analysis of network public opinion on Covid-19 epidemic based on the WSR theory
Detecting Urban Events by Considering Long Temporal Dependency of Sentiment Strength in Geotagged Social Media Data
Urban Fine-Grained Spatial Structure Detection Based on a New Traffic Flow Interaction Analysis Framework
Research on the dynamic mechanism of group emotional expression in the crisis
Exploring characterizing factors and mechanisms of citizens' water literacy to promote sustainable water use
Consumers’ Opinions towards Public Health Effects of Online Games
How local outbreak of Covid-19 affect the risk of internet public opinion
Research on the Communication and Governance of Negative Emotions in Major Emergencies Based on Data‐Information‐Intelligence‐Solution Theory
Network Analysis in Public Health
Social Media in Disaster Risk Reduction and Crisis Management
Rapid assessment of disaster damage using social media activity
Complex network measures of brain connectivity
The effect of human mobility and control measures on the Covid-19 epidemic in China
Community detection in graphs
On the First Law of Geography
Population flow drives spatio-temporal distribution of Covid-19 in China
Covid-19 control in China during mass population movements at New Year
Virtually Perfect? Telemedicine for Covid-19
The Geography of Happiness
The geography of Twitter topics in London
Computational Social Science
The Structure and Function of Complex Networks
How Urban Factors Affect the Spatiotemporal Distribution of Infectious Diseases in Addition to Intercity Population Movement in China
Exploring Urban Spatial Features of Covid-19 Transmission in Wuhan Based on Social Media Data
Chinese tourists in Nordic countries
A gravity model of immigration
Examining the Impact of Covid-19 Lockdown in Wuhan and Lombardy
Spatialities of data
Citizens as sensors
Social awareness of crisis events
A faster algorithm for betweenness centrality
Implications of Volunteered Geographic Information for Disaster Management and GIScience
| Citations per year | 2 |
|---|---|
| Citation span | 2021 - 2025 (5) |
| Highly cited | No |