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Macroscopic patterns of interacting contagions are indistinguishable from social reinforcement

From fake news to innovative technologies, many contagions spread as complex contagions via a process of social reinforcement, where multiple exposures are distinct from prolonged exposure to a single source.(1) Contrarily, biological agents such as Ebola or measles are typically thought to spread a...

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Detalles Bibliográficos
Autores principales: Hébert-Dufresne, Laurent, Scarpino, Samuel V., Young, Jean-Gabriel
Formato: Online Artículo Texto
Lenguaje:English
Publicado: 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8247125/
https://www.ncbi.nlm.nih.gov/pubmed/34221104
http://dx.doi.org/10.1038/s41567-020-0791-2
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author Hébert-Dufresne, Laurent
Scarpino, Samuel V.
Young, Jean-Gabriel
author_facet Hébert-Dufresne, Laurent
Scarpino, Samuel V.
Young, Jean-Gabriel
author_sort Hébert-Dufresne, Laurent
collection PubMed
description From fake news to innovative technologies, many contagions spread as complex contagions via a process of social reinforcement, where multiple exposures are distinct from prolonged exposure to a single source.(1) Contrarily, biological agents such as Ebola or measles are typically thought to spread as simple contagions.(2) Here, we demonstrate that these different spreading mechanisms can have indistinguishable population-level dynamics once multiple contagions interact. In the social context, our results highlight the challenge of identifying and quantifying spreading mechanisms, such as social reinforcement,(3) in a world where an innumerable amount of ideas, memes and behaviors interact. In the biological context, this parallel allows the use of complex contagions to effectively quantify the non-trivial interactions of infectious diseases.
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spelling pubmed-82471252021-07-01 Macroscopic patterns of interacting contagions are indistinguishable from social reinforcement Hébert-Dufresne, Laurent Scarpino, Samuel V. Young, Jean-Gabriel Nat Phys Article From fake news to innovative technologies, many contagions spread as complex contagions via a process of social reinforcement, where multiple exposures are distinct from prolonged exposure to a single source.(1) Contrarily, biological agents such as Ebola or measles are typically thought to spread as simple contagions.(2) Here, we demonstrate that these different spreading mechanisms can have indistinguishable population-level dynamics once multiple contagions interact. In the social context, our results highlight the challenge of identifying and quantifying spreading mechanisms, such as social reinforcement,(3) in a world where an innumerable amount of ideas, memes and behaviors interact. In the biological context, this parallel allows the use of complex contagions to effectively quantify the non-trivial interactions of infectious diseases. 2020-02-24 2020-04 /pmc/articles/PMC8247125/ /pubmed/34221104 http://dx.doi.org/10.1038/s41567-020-0791-2 Text en https://www.nature.com/authors/policies/license.html#AAMtermsV1Terms of use and reuse: academic research for non-commercial purposes, see here for full terms. https://www.nature.com/authors/policies/license.html#AAMtermsV1
spellingShingle Article
Hébert-Dufresne, Laurent
Scarpino, Samuel V.
Young, Jean-Gabriel
Macroscopic patterns of interacting contagions are indistinguishable from social reinforcement
title Macroscopic patterns of interacting contagions are indistinguishable from social reinforcement
title_full Macroscopic patterns of interacting contagions are indistinguishable from social reinforcement
title_fullStr Macroscopic patterns of interacting contagions are indistinguishable from social reinforcement
title_full_unstemmed Macroscopic patterns of interacting contagions are indistinguishable from social reinforcement
title_short Macroscopic patterns of interacting contagions are indistinguishable from social reinforcement
title_sort macroscopic patterns of interacting contagions are indistinguishable from social reinforcement
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8247125/
https://www.ncbi.nlm.nih.gov/pubmed/34221104
http://dx.doi.org/10.1038/s41567-020-0791-2
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