ArticleInformation processing & management2020
Temporal and spatial evolution of online public sentiment on emergencies.
Article in Information processing & management, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 29 papers.
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
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Who cites it
29 citing papers in PubMed.
- Evolutionary game model for public health emergency management in universities.Scientific reports · 2026Article
- Dual paths of information behavioral choice influenced by information and emotion: The moderating effect of user credibility.PloS one · 2026Article
- Identifying critical risk factors in railway operations based on directed weighted complex networks and combinatorial weighting-TOPSIS.PloS one · 2026Article
- Investigating the Influencing Factors and Correlation Between Popularity and Emotion of Public Opinion During Disasters: Evidence from the "7.20" Rainstorm in China.Behavioral sciences (Basel, Switzerland) · 2025Article
- Exploring the impact of sentiment on multi-dimensional information dissemination using COVID-19 data in China.Computers in human behavior · 2023Article
- Public opinion changing patterns under the double-hazard scenario of natural disaster and public health event.Information processing & management · 2023Article
- Dynamic Characteristics and Evolution Analysis of Information Dissemination Theme of Social Networks under Emergencies.Behavioral sciences (Basel, Switzerland) · 2023Article
- Demystifying the Role of Natural Language Processing (NLP) in Smart City Applications: Background, Motivation, Recent Advances, and Future Research Directions.Wireless personal communications · 2023Review
- Modeling emotional contagion in the COVID-19 pandemic: a complex network approach.PeerJ. Computer science · 2023Article
- The positive energy of netizens: development and application of fine-grained sentiment lexicon and emotional intensity model.Current psychology (New Brunswick, N.J.) · 2022Article
- An easy numeric data augmentation method for early-stage COVID-19 tweets exploration of participatory dynamics of public attention and news coverage.Information processing & management · 2022Article
- The spatiotemporal evolution of COVID-19 in China and its impact on urban economic resilience.China economic review · 2022Article
- Modeling and simulation of microblog-based public health emergency-associated public opinion communication.Information processing & management · 2022Article
- A Decision Model for the Control and Dissemination of the Online Public Opinions: An Empirical Study of Public Opinion Dissemination on Fraudulent Insurance Claims in Taihe, China.Computational and mathematical methods in medicine · 2022Article
- Investigating the Public Sentiment in Major Public Emergencies Through the Complex Networks Method: A Case Study of COVID-19 Epidemic.Frontiers in public health · 2022Article
- Public Social Media Discussions on Agricultural Product Safety Incidents: Chinese African Swine Fever Debate on Weibo.Frontiers in psychology · 2022Article
- Influence of information attributes on information dissemination in public health emergencies.Humanities & social sciences communications · 2022Article
- Public View of Public Health Emergencies Based on Artificial Intelligence Data.Journal of environmental and public health · 2022Article
- Multi-stage Internet public opinion risk grading analysis of public health emergencies: An empirical study on Microblog in COVID-19.Information processing & management · 2022Article
- Emergency Management of Medical Wastewater in Hospitals Specializing in Infectious Diseases: A Case Study of Huoshenshan Hospital, Wuhan, China.International journal of environmental research and public health · 2021Article
Corrections and comments
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Authors and funding
3 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
The transmission of online emergency information has become an active means of expressing public opinion and has vitally affected societal emergency response techniques. This paper analyzes interactions between three groups in time and space using a classic SIR (susceptible, infected, and recovered) epidemic model. Through social network theory and analog simulation analysis, we utilize data from China's Sina Weibo (a popular social media platform) to conduct empirical research on 101 major incidents in China that occurred between 2010 and 2017. We divide these emergencies into four types-natural disasters, accidents, public health events, and social security events-and conduct a simulation using three examples from each group. The results show that government control of public opinion is both cheaper and more effective when it occurs at the initial stages of an incident. By cooperating with the government, the media can facilitate emergency management. Finally, if netizens trust the government and the media, they are more likely to make cooperative decisions, maintain interest, and improve the management of online public sentiment.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.