Dynamical Interplay between Awareness and Epidemic Spreading in Multiplex Networks
Open accessAbstract
We present the analysis of the interrelation between two processes accounting for the spreading of an epidemic, and the information awareness to prevent its infection, on top of multiplex networks. This scenario is representative of an epidemic process spreading on a network of persistent real contacts, and a cyclic information awareness process diffusing in the network of virtual social contacts between the same individuals. The topology corresponds to a multiplex network where two diffusive processes are interacting affecting each other. The analysis using a microscopic Markov chain approach reveals the phase diagram of the incidence of the epidemics and allows us to capture the evolution of the epidemic threshold depending on the topological structure of the multiplex and the interrelation with the awareness process. Interestingly, the critical point for the onset of the epidemics has a critical value (metacritical point) defined by the awareness dynamics and the topology of the virtual network, from which the onset increases and the epidemics incidence decreases.
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Classical epidemic models such as the susceptible-infected-recovered (SIR) model have been used to study the diffusion of information, such as rumors or news.
“Classical epidemic models such as the susceptible–infected–recovered (SIR) model (44) have been used to study the diffusion of information, such as rumors or news (45–47).”
From The echo chamber effect on social media (2021) · cites this paper as [47]
The paper’s opening discussion (p. 1) models the spread of information about an epidemic through social contacts, supporting the general point that epidemic-style models can study information diffusion. It models awareness using an unaware–aware–unaware process alongside an SIS epidemic process; it does not establish the cited example of rumors or news. The SIR-model citation is separately numbered (44), so SIR is not attributed to this source. (LLM, conf=0.83)
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- Authors
- Granell, C., Gómez, S., & Arenas, A.
- Affiliations
- Universitat Rovira i Virgili (ES)
- Venue
- Physical Review Letters
- Publisher
- American Physical Society (APS)
- Published
- 2013-09-17
- Volume
- 111
- Issue
- 12
- Pages
- 128701-128701
- ISSN
- 0031-9007 (ISSN-L)
- 1079-7114
- OpenAlex
- W1984688056
- Cited by
- 1,064
- References
- 24
- Citations by year
- 2026: 74 · 2025: 107 · 2024: 97 · 2023: 85 · 2022: 73 · 2021: 91 · 2020: 92 · 2019: 83 · 2018: 115 · 2017: 77 · 2016: 74 · 2015: 52 · 2014: 41 · 2013: 3
- FWCI
- 40.31
- Type
- journal article
- Language
- en
- Open access
- green
- arxiv.org
- Locations
- Physical Review Letters (publishedVersion)
- PubMed (publishedVersion)
- arXiv (Cornell University) (submittedVersion)
- Rovira & Virgili repository (submittedVersion, cc-by)
- arXiv (Cornell University)
- Funders
- James S. McDonnell Foundation
- Institució Catalana de Recerca i Estudis Avançats
- Topics
- Physical Sciences › Physics and Astronomy › Statistical and Nonlinear Physics › Complex Network Analysis Techniques
- Health Sciences › Medicine › Public Health, Environmental and Occupational Health › Mathematical and Theoretical Epidemiology and Ecology Models
- Physical Sciences › Physics and Astronomy › Statistical and Nonlinear Physics › Opinion Dynamics and Social Influence
- Keywords
- epidemic spread, information awareness, multiplex networks, epidemic threshold, Markov chain model, phase diagram
- MeSH terms
- Epidemiologic Methods, Humans, Infections, Markov Chains, Models, Biological, Models, Statistical, Information Dissemination, Epidemics
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