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 language | English |
|---|---|
| Pages (from-to) | 556-563 |
| Journal | IEEE Transactions on Control of Network Systems |
| Volume | 10 |
| Issue number | 2 |
| Online published | 25 Jan 2022 |
| DOIs | |
| Publication status | Published - Jun 2023 |
Research Keywords
- Correlation
- Couplings
- duplex networks
- Eigenvalues and eigenfunctions
- Laplace equations
- Multiplexing
- Network systems
- network topology
- superdiffusion
- Transforms
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