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A topological mechanism of superdiffusion on duplex networks

Juan Wei, Xiaoqun Wu*, Jun-an Lu, Jinhu Lü, Guanrong Chen

*Corresponding author for this work

Research output: Journal Publications and ReviewsRGC 21 - Publication in refereed journalpeer-review

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. © 2022 IEEE.
Original languageEnglish
Pages (from-to)556-563
JournalIEEE Transactions on Control of Network Systems
Volume10
Issue number2
Online published25 Jan 2022
DOIs
Publication statusPublished - Jun 2023

Research Keywords

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

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