A topological mechanism of superdiffusion on duplex networks

Research output: Journal Publications and Reviews (RGC: 21, 22, 62)21_Publication in refereed journalpeer-review

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Original languageEnglish
Journal / PublicationIEEE Transactions on Control of Network Systems
Publication statusOnline published - 25 Jan 2022

Abstract

Superdiffusion is an interesting phenomenon from both theoretical and practical perspectives. We propose a sufficient condition for the occurrence of superdiffusion on duplex networks by applying the generating functionology from combinatorial mathematics. Our result indicates that, with fixed values of intra-layer diffusion constants, superdiffusion emerges from a certain combination of different network topologies, which provides a topological mechanism to regulate the whole diffusion process. On a more general ground, we provide two inter-layer linking strategies to expand the applicability of the above topological mechanism on real-world networks, and construct a class of specific duplex networks on which superdiffusion occurs. We further verify that diffusion with negative inter-layer correlation is faster than those with positive correlation from a typical duplex structure. Given the ubiquity of diffusion in the real world, our results constitute a significant step toward a better understanding of superdiffusion processes on multiplex networks.

Research Area(s)

  • Correlation, Couplings, duplex networks, Eigenvalues and eigenfunctions, Laplace equations, Multiplexing, Network systems, network topology, superdiffusion, Transforms