A multiscale theory for network advection- reaction-diffusion.

Overview

1. Max Planck Institute for Plant Breeding Research, Cologne, 50829 Germany
2. Dipartimento di Matematica, Università di Roma Tor Vergata, Rome, 00133 Italy
3. Mathematical Institute, University of Oxford, Oxford, OX2 6GG UK

Abstract

Mathematical network models are extremely useful to capture complex propagation processes between different regions (nodes), e.g. the spread of an infectious agent between different countries, or the transport and replication of toxic proteins across different brain regions in neurodegenerative diseases. In these models, transport is modelled at the macroscale through an operator, the so-called graph Laplacian, based on the edge properties and topology, capturing the fluxes between different nodes of the network. However, this phenomenological approach fails to take into account the physical processes taking place, at the microscale, within the edge. A fundamental problem is then to obtain a transport operator from mechanistic principles based on the underlying transport process. Using advection-reaction-diffusion as a generic mechanism for inter-nodal exchanges, we derive a multiscale network transport model and derive the corresponding linear transport operator at the macroscale from first principles. This effective graph Laplacian is fully determined by the transport mechanisms along the edges at the microscale. We show that this operator correctly captures the transport, and we study its scaling properties with respect to edge length.

Reproduced under the paper's license (CC BY), from the paper cited above.

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Wolfram Mathematica notebooks are available upon request.

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Version 1, 29 September 2026: the first record

Recorded: type, language, journal, volume, issue, pages, dates, 3 authors, 3 keywords, 8 MeSH terms, 1 funder, 22 references.

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This paper

Oliveri, H., Cozzolino, E., & Goriely, A. (2026). A multiscale theory for network advection- reaction-diffusion. Journal of mathematical biology, 92(5), 65. https://doi.org/10.1007/s00285-026-02386-2

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