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Injurious information propagation and its global stability considering activity and normalized recovering rate
- Source :
- PLoS ONE, Vol 16, Iss 10 (2021), PLoS ONE, Vol 16, Iss 10, p e0258859 (2021), PLoS ONE
- Publication Year :
- 2021
- Publisher :
- Public Library of Science (PLoS), 2021.
-
Abstract
- This paper establishes a compartment model describing the propagation of injurious information among a well-mixed population. We define the information’s injuriousness as the people practicing the information being injured and leaving the system. Some informed people practice the information and are active, while others do not practice and are inactive. With the recovery resources fixed, the two groups of informed people’s recovering rates are normalized considering the information features. The stability of the nonlinear system is thoroughly studied. Analyzing the reproduction number of the injurious information, we find that in general parameter space, when there are people in an informed compartment, it is not always necessary to consider their recovery resource allocation. Instead, only when their proportion reaches a critical point should it be allocated. Unless the people in an informed compartment form a certain proportion, we can take a laissez-faire attitude towards them. In a more realistic parameter space, once inactive informed people exist, they should be allocated recovery resources. On the one hand, when the recovering rate rises, the focus on both groups of informed people is necessary for more situations. On the other hand, when the rate of active informed people leaving the system rises, ignoring active informed people benefits removing the injurious information in more cases. The model provides qualitative ways in the scenarios of removing injurious information.
- Subjects :
- Information propagation
Computer and Information Sciences
Computer science
Epidemiology
Reproduction (economics)
Science
Population
Immunology
Stability (learning theory)
Population Modeling
Social Sciences
Pharmacokinetic Analysis
Compartment Models
Systems Science
Education
Medical Conditions
Sociology
Medicine and Health Sciences
Humans
Public and Occupational Health
education
Educational Attainment
Pharmacology
education.field_of_study
Multidisciplinary
Actuarial science
Population Biology
System Stability
Information Dissemination
Biology and Life Sciences
Computational Biology
Models, Theoretical
Vaccination and Immunization
Pharmacologic Analysis
Infectious Diseases
Nonlinear Dynamics
Physical Sciences
Resource allocation
Medicine
Preventive Medicine
Infectious Disease Modeling
Nonlinear Systems
Mathematics
Research Article
Subjects
Details
- Language :
- English
- ISSN :
- 19326203
- Volume :
- 16
- Issue :
- 10
- Database :
- OpenAIRE
- Journal :
- PLoS ONE
- Accession number :
- edsair.doi.dedup.....9b7bd49d3508bbf2264fb152e2d89df8