We introduce a framework to intertwine dynamical processes of differentnature, each with its own distinct network topology, using a multilayernetwork approach. As an example of collective phenomena emerging fromthe interactions of multiple dynamical processes, we study a model whereneural dynamics and nutrient transport are bidirectionally coupled insuch a way that the allocation of the transport process at one layerdepends on the degree of synchronization at the other layer, and viceversa. We show numerically, and we prove analytically, that themultilayer coupling induces a spontaneous explosive synchronization anda heterogeneous distribution of allocations, otherwise not present inthe two systems considered separately. Our framework can findapplication to other cases where two or more dynamical processes such assynchronization, opinion formation, information diffusion, or diseasespreading, are interacting with each other.

Collective Phenomena Emerging from the Interactions between Dynamical Processes in Multiplex Networks

Vincenzo Nicosia;Vito Latora
2017-01-01

Abstract

We introduce a framework to intertwine dynamical processes of differentnature, each with its own distinct network topology, using a multilayernetwork approach. As an example of collective phenomena emerging fromthe interactions of multiple dynamical processes, we study a model whereneural dynamics and nutrient transport are bidirectionally coupled insuch a way that the allocation of the transport process at one layerdepends on the degree of synchronization at the other layer, and viceversa. We show numerically, and we prove analytically, that themultilayer coupling induces a spontaneous explosive synchronization anda heterogeneous distribution of allocations, otherwise not present inthe two systems considered separately. Our framework can findapplication to other cases where two or more dynamical processes such assynchronization, opinion formation, information diffusion, or diseasespreading, are interacting with each other.
2017
COMPLEX NETWORKS, OSCILLATOR NETWORKS, NEURONAL-ACTIVITY, SYNCHRONIZATION, STIMULATION, FEEDBACK.
File in questo prodotto:
File Dimensione Formato  
PhysRevLett.118.138302-collective.pdf

solo gestori archivio

Tipologia: Versione Editoriale (PDF)
Dimensione 329.55 kB
Formato Adobe PDF
329.55 kB Adobe PDF   Visualizza/Apri

I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.

Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/20.500.11769/357668
Citazioni
  • ???jsp.display-item.citation.pmc??? 12
  • Scopus 112
  • ???jsp.display-item.citation.isi??? 108
social impact