Diffusive behavior of multiplex networks
Giulia Cencetti, Federico Battiston

TL;DR
This paper investigates how the structure and dynamics of multiplex networks influence diffusive behavior, revealing conditions that promote super-diffusion and guiding the design of efficient interconnected systems.
Contribution
It provides a general theoretical framework linking multiplex network features to super-diffusion emergence, extending beyond previous limited coupling regimes.
Findings
Super-diffusion occurs earliest in systems with poorly diffusive layers.
Onset of super-diffusion is independent of layer overlap.
Uniform resource allocation enhances diffusion and super-diffusion.
Abstract
Diffusion describes the motion of microscopic entities from regions of high concentration to regions of low concentration. In multiplex networks, flows can occur both within and across layers, and super-diffusion, a regime where the time scale of the multiplex to reach equilibrium is smaller than that of single networks in isolation, can emerge due to the interplay of these two mechanisms. In the limits of strong and weak inter-layer couplings multiplex diffusion has been linked to the spectrum of the supra-Laplacian associated to the system. However, a general theory for the emergence of this behavior is still lacking. Here we shed light on how the structural and dynamical features of the multiplex affect the Laplacian spectral properties. For instance, we find that super-diffusion emerges the earliest in systems with poorly diffusive layers, and that its onset is independent from the…
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