Network clique cover approximation to analyze complex contagions through group interactions

Network clique cover approximation to analyze complex contagions through group interactions

Higher-order contagion models capture opinion dynamics and adoption of behavior in social networks. In this paper, the authors propose a mathematical framework able to accurately characterize the phase diagram of these contagion processes in social higher-order networks.

Bibliographic Details
Main Authors: Giulio Burgio, Alex Arenas, Sergio Gómez, Joan T. Matamalas
Format: Article
Language:English
Published: Nature Publishing Group 2021-05-01
Series:Communications Physics
Online Access:https://doi.org/10.1038/s42005-021-00618-z
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spelling doaj-e0780f329831400ea5cd51e3477cde022021-06-06T11:24:35ZengNature Publishing GroupCommunications Physics2399-36502021-05-014111010.1038/s42005-021-00618-zNetwork clique cover approximation to analyze complex contagions through group interactionsGiulio Burgio0Alex Arenas1Sergio Gómez2Joan T. Matamalas3Departament d’Enginyeria Informàtica i Matemàtiques, Universitat Rovira i VirgiliDepartament d’Enginyeria Informàtica i Matemàtiques, Universitat Rovira i VirgiliDepartament d’Enginyeria Informàtica i Matemàtiques, Universitat Rovira i VirgiliCenter for Interdisciplinary Cardiovascular Sciences, Cardiovascular Division, Department of Medicine, Brigham and Women’s Hospital, Harvard Medical SchoolHigher-order contagion models capture opinion dynamics and adoption of behavior in social networks. In this paper, the authors propose a mathematical framework able to accurately characterize the phase diagram of these contagion processes in social higher-order networks.https://doi.org/10.1038/s42005-021-00618-z
collection DOAJ
language English
format Article
sources DOAJ
author Giulio Burgio
Alex Arenas
Sergio Gómez
Joan T. Matamalas
spellingShingle Giulio Burgio
Alex Arenas
Sergio Gómez
Joan T. Matamalas
Network clique cover approximation to analyze complex contagions through group interactions
Communications Physics
author_facet Giulio Burgio
Alex Arenas
Sergio Gómez
Joan T. Matamalas
author_sort Giulio Burgio
title Network clique cover approximation to analyze complex contagions through group interactions
title_short Network clique cover approximation to analyze complex contagions through group interactions
title_full Network clique cover approximation to analyze complex contagions through group interactions
title_fullStr Network clique cover approximation to analyze complex contagions through group interactions
title_full_unstemmed Network clique cover approximation to analyze complex contagions through group interactions
title_sort network clique cover approximation to analyze complex contagions through group interactions
publisher Nature Publishing Group
series Communications Physics
issn 2399-3650
publishDate 2021-05-01
description Higher-order contagion models capture opinion dynamics and adoption of behavior in social networks. In this paper, the authors propose a mathematical framework able to accurately characterize the phase diagram of these contagion processes in social higher-order networks.
url https://doi.org/10.1038/s42005-021-00618-z
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AT alexarenas networkcliquecoverapproximationtoanalyzecomplexcontagionsthroughgroupinteractions
AT sergiogomez networkcliquecoverapproximationtoanalyzecomplexcontagionsthroughgroupinteractions
AT joantmatamalas networkcliquecoverapproximationtoanalyzecomplexcontagionsthroughgroupinteractions
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