Epidemic processes in complex networks
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Complex networks arise in a wide range of biological and sociotechnical systems. Epidemic spreading is central to our understanding of dynamical processes in complex networks, and is of interest to physicists, mathematicians, epidemiologists, and computer and social scientists. This review presents the main results and paradigmatic models in infectious disease modeling and generalized social contagion processes.
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Information dynamics intended to change perceptions can direct collective attention to false or inflammatory content, a phenomenon called infodemics that resembles epidemics.
“In this study, we show that information dynamics tailored to alter individuals' perceptions and, consequently, their behavioral response, is able to drive collective attention 12 towards false 13,14 or inflammatory 15 content, a phenomenon named infodemics [16][17][18][19] , sharing similarities with more traditional epidemics and spreading phenomena [20][21][22] .”
From Assessing the risks of ‘infodemics’ in response to COVID-19 epidemics (2020) · cites this paper as [13]
Individual behavioural actions can have a collective impact through cascading phenomena.
“any so-called “individual” behavioural action (e.g., thought, speech, or physical action) could in fact have a collective impact, through the emergence of cascading phenomena 17 – 20 .”
From Kindness as a public health action (2025) · cites this paper as [19]
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- Authors
- Pastor-Satorras, R., Castellano, C., Van Mieghem, P., & Vespignani, A.
- Affiliations
- Institute for Complex Systems (IT)
- Northeastern University (US)
- Venue
- Reviews of Modern Physics
- Publisher
- American Physical Society (APS)
- Published
- 2015-08-31
- Volume
- 87
- Issue
- 3
- Pages
- 925-979
- ISSN
- 0034-6861 (ISSN-L)
- 1539-0756
- OpenAlex
- W1878853999
- Cited by
- 3,697
- References
- 475
- Citations by year
- 2026: 269 · 2025: 332 · 2024: 280 · 2023: 314 · 2022: 412 · 2021: 491 · 2020: 411 · 2019: 314 · 2018: 354 · 2017: 268 · 2016: 180 · 2015: 61 · 2014: 10 · 2013: 1
- FWCI
- 181.11
- Type
- journal article
- Language
- en
- Open access
- green
- hdl.handle.net
- Licence
- Locations
- Reviews of Modern Physics (publishedVersion)
- RECERCAT (Consorci de Serveis Universitaris de Catalunya) (acceptedVersion, other-oa)
- arXiv (Cornell University) (submittedVersion)
- UPCommons institutional repository (Universitat Politècnica de Catalunya) (submittedVersion, cc-by)
- LA Referencia (Red Federada de Repositorios Institucionales de Publicaciones Científicas) (submittedVersion, public-domain)
- CNR ExploRA (submittedVersion, other-oa)
- arXiv (Cornell University)
- Funders
- Ministerio de Economía y Competitividad (FIS2010-21781-C02- 01, FIS2013-47282-C2-2)
- Institució Catalana de Recerca i Estudis Avançats
- Defense Threat Reduction Agency (1-0910039)
- National Science Foundation (CMMI-1125095)
- National Institute of General Medical Sciences (MIDAS U54GM111274)
- EC FET (MULTIPLEX 317532)
- EU CONGAS (288021)
- 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
- Social Sciences › Economics, Econometrics and Finance › Economics and Econometrics › Complex Systems and Time Series Analysis
- Keywords
- epidemic spread, complex networks, epidemic modeling, social contagion, network dynamics
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