Spreading Processes in Multiplex Metapopulations Containing Different Mobility Networks

We propose a theoretical framework for the study of spreading processes in structured metapopulations, with heterogeneous agents, subjected to different recurrent mobility patterns. We propose to represent the heterogeneity in the composition of the metapopulations as layers in a multiplex network,...

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Main Authors: D. Soriano-Paños, L. Lotero, A. Arenas, J. Gómez-Gardeñes
Format: Article
Language:English
Published: American Physical Society 2018-08-01
Series:Physical Review X
Online Access:http://doi.org/10.1103/PhysRevX.8.031039
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spelling doaj-33d0fb60ed8f4effb5620ea18ac304052020-11-24T21:56:59ZengAmerican Physical SocietyPhysical Review X2160-33082018-08-018303103910.1103/PhysRevX.8.031039Spreading Processes in Multiplex Metapopulations Containing Different Mobility NetworksD. Soriano-PañosL. LoteroA. ArenasJ. Gómez-GardeñesWe propose a theoretical framework for the study of spreading processes in structured metapopulations, with heterogeneous agents, subjected to different recurrent mobility patterns. We propose to represent the heterogeneity in the composition of the metapopulations as layers in a multiplex network, where nodes would correspond to geographical areas and layers account for the mobility patterns of agents of the same class. We analyze classical epidemic models within this framework and obtain an excellent agreement with extensive Monte Carlo simulations. This agreement allows us to derive analytical expressions of the epidemic threshold and to face the challenge of characterizing a real multiplex metapopulation, the city of Medellín in Colombia, where different recurrent mobility patterns are observed depending on the socioeconomic class of the agents. Our framework allows us to unveil the geographical location of those patches that trigger the epidemic state at the critical point. A careful exploration reveals that social mixing between classes and mobility crucially determines these critical patches and, more importantly, it can produce abrupt changes of the critical properties of the epidemic onset.http://doi.org/10.1103/PhysRevX.8.031039
collection DOAJ
language English
format Article
sources DOAJ
author D. Soriano-Paños
L. Lotero
A. Arenas
J. Gómez-Gardeñes
spellingShingle D. Soriano-Paños
L. Lotero
A. Arenas
J. Gómez-Gardeñes
Spreading Processes in Multiplex Metapopulations Containing Different Mobility Networks
Physical Review X
author_facet D. Soriano-Paños
L. Lotero
A. Arenas
J. Gómez-Gardeñes
author_sort D. Soriano-Paños
title Spreading Processes in Multiplex Metapopulations Containing Different Mobility Networks
title_short Spreading Processes in Multiplex Metapopulations Containing Different Mobility Networks
title_full Spreading Processes in Multiplex Metapopulations Containing Different Mobility Networks
title_fullStr Spreading Processes in Multiplex Metapopulations Containing Different Mobility Networks
title_full_unstemmed Spreading Processes in Multiplex Metapopulations Containing Different Mobility Networks
title_sort spreading processes in multiplex metapopulations containing different mobility networks
publisher American Physical Society
series Physical Review X
issn 2160-3308
publishDate 2018-08-01
description We propose a theoretical framework for the study of spreading processes in structured metapopulations, with heterogeneous agents, subjected to different recurrent mobility patterns. We propose to represent the heterogeneity in the composition of the metapopulations as layers in a multiplex network, where nodes would correspond to geographical areas and layers account for the mobility patterns of agents of the same class. We analyze classical epidemic models within this framework and obtain an excellent agreement with extensive Monte Carlo simulations. This agreement allows us to derive analytical expressions of the epidemic threshold and to face the challenge of characterizing a real multiplex metapopulation, the city of Medellín in Colombia, where different recurrent mobility patterns are observed depending on the socioeconomic class of the agents. Our framework allows us to unveil the geographical location of those patches that trigger the epidemic state at the critical point. A careful exploration reveals that social mixing between classes and mobility crucially determines these critical patches and, more importantly, it can produce abrupt changes of the critical properties of the epidemic onset.
url http://doi.org/10.1103/PhysRevX.8.031039
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