Unique superdiffusion induced by directionality in multiplex networks

The multilayer network framework has served to describe and uncover a number of novel and unforeseen physical behaviors and regimes in interacting complex systems. However, the majority of existing studies are built on undirected multilayer networks while most complex systems in nature exhibit direc...

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Main Authors: Xiangrong Wang, Alejandro Tejedor, Yi Wang, Yamir Moreno
Format: Article
Language:English
Published: IOP Publishing 2021-01-01
Series:New Journal of Physics
Subjects:
Online Access:https://doi.org/10.1088/1367-2630/abdb71
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author Xiangrong Wang
Alejandro Tejedor
Yi Wang
Yamir Moreno
author_facet Xiangrong Wang
Alejandro Tejedor
Yi Wang
Yamir Moreno
author_sort Xiangrong Wang
collection DOAJ
description The multilayer network framework has served to describe and uncover a number of novel and unforeseen physical behaviors and regimes in interacting complex systems. However, the majority of existing studies are built on undirected multilayer networks while most complex systems in nature exhibit directed interactions. Here, we propose a framework to analyze diffusive dynamics on multilayer networks consisting of at least one directed layer. We rigorously demonstrate that directionality in multilayer networks can fundamentally change the behavior of diffusive dynamics: from monotonic (in undirected systems) to non-monotonic diffusion with respect to the interlayer coupling strength. Moreover, for certain multilayer network configurations, the directionality can induce a unique superdiffusion regime for intermediate values of the interlayer coupling, wherein the diffusion is even faster than that corresponding to the theoretical limit for undirected systems, i.e. the diffusion in the integrated network obtained from the aggregation of each layer. We theoretically and numerically show that the existence of superdiffusion is fully determined by the directionality of each layer and the topological overlap between layers. We further provide a formulation of multilayer networks displaying superdiffusion. Our results highlight the significance of incorporating the interacting directionality in multilevel networked systems and provide a framework to analyze dynamical processes on interconnected complex systems with directionality.
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spelling doaj.art-f03628c431214d1dbd5bc0a20aba86f02023-08-08T15:34:16ZengIOP PublishingNew Journal of Physics1367-26302021-01-0123101301610.1088/1367-2630/abdb71Unique superdiffusion induced by directionality in multiplex networksXiangrong Wang0https://orcid.org/0000-0002-0811-6097Alejandro Tejedor1https://orcid.org/0000-0002-3800-5304Yi Wang2Yamir Moreno3https://orcid.org/0000-0002-0895-1893Institute of Future Networks, Southern University of Science and Technology , Shenzhen, People’s Republic of China; Research Center of Networks and Communications, Peng Cheng Laboratory , Shenzhen, People’s Republic of ChinaDepartment of Science and Engineering, Sorbonne University Abu Dhabi , Abu Dhabi, United Arab Emirates; Department of Civil and Environmental Engineering, University of California Irvine , Irvine, CA, United States of AmericaInstitute of Future Networks, Southern University of Science and Technology , Shenzhen, People’s Republic of China; Research Center of Networks and Communications, Peng Cheng Laboratory , Shenzhen, People’s Republic of ChinaInstitute for Biocomputation and Physics of Complex Systems, University of Zaragoza , Zaragoza, Spain; Department of Theoretical Physics, University of Zaragoza , Zaragoza, Spain; ISI Foundation , Turin, ItalyThe multilayer network framework has served to describe and uncover a number of novel and unforeseen physical behaviors and regimes in interacting complex systems. However, the majority of existing studies are built on undirected multilayer networks while most complex systems in nature exhibit directed interactions. Here, we propose a framework to analyze diffusive dynamics on multilayer networks consisting of at least one directed layer. We rigorously demonstrate that directionality in multilayer networks can fundamentally change the behavior of diffusive dynamics: from monotonic (in undirected systems) to non-monotonic diffusion with respect to the interlayer coupling strength. Moreover, for certain multilayer network configurations, the directionality can induce a unique superdiffusion regime for intermediate values of the interlayer coupling, wherein the diffusion is even faster than that corresponding to the theoretical limit for undirected systems, i.e. the diffusion in the integrated network obtained from the aggregation of each layer. We theoretically and numerically show that the existence of superdiffusion is fully determined by the directionality of each layer and the topological overlap between layers. We further provide a formulation of multilayer networks displaying superdiffusion. Our results highlight the significance of incorporating the interacting directionality in multilevel networked systems and provide a framework to analyze dynamical processes on interconnected complex systems with directionality.https://doi.org/10.1088/1367-2630/abdb71networksmultiplexdirectionalitycomplex systemsspectral properties
spellingShingle Xiangrong Wang
Alejandro Tejedor
Yi Wang
Yamir Moreno
Unique superdiffusion induced by directionality in multiplex networks
New Journal of Physics
networks
multiplex
directionality
complex systems
spectral properties
title Unique superdiffusion induced by directionality in multiplex networks
title_full Unique superdiffusion induced by directionality in multiplex networks
title_fullStr Unique superdiffusion induced by directionality in multiplex networks
title_full_unstemmed Unique superdiffusion induced by directionality in multiplex networks
title_short Unique superdiffusion induced by directionality in multiplex networks
title_sort unique superdiffusion induced by directionality in multiplex networks
topic networks
multiplex
directionality
complex systems
spectral properties
url https://doi.org/10.1088/1367-2630/abdb71
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AT yamirmoreno uniquesuperdiffusioninducedbydirectionalityinmultiplexnetworks