Li, Bo and Saad, David (2024). Infection-induced cascading failures – impact and mitigation. Communications Physics, 7 (1),
Abstract
In the context of epidemic spreading, many intricate dynamical patterns can emerge due to the cooperation of different types of pathogens or the interaction between the disease spread and other failure propagation mechanism. To unravel such patterns, simulation frameworks are usually adopted, but they are computationally demanding on big networks and subject to large statistical uncertainty. Here, we study the two-layer spreading processes on unidirectionally dependent networks, where the spreading infection of diseases or malware in one layer can trigger cascading failures in another layer and lead to secondary disasters, e.g., disrupting public services, supply chains, or power distribution. We utilize a dynamic message-passing method to devise efficient algorithms for inferring the system states, which allows one to investigate systematically the nature of complex intertwined spreading processes and evaluate their impact. Based on such dynamic message-passing framework and optimal control, we further develop an effective optimization algorithm for mitigating network failures.
Publication DOI: | https://doi.org/10.1038/s42005-024-01638-1 |
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Divisions: | College of Engineering & Physical Sciences > School of Computer Science and Digital Technologies > Applied Mathematics & Data Science Aston University (General) |
Funding Information: | European Union’s Horizon 2020 research and innovation programme under the Marie Skłodowska-Curie Grant Agreement No. 835913, Leverhulme Trust (RPG-2018-092) and the EPSRC programme grant TRANSNET (EP/R035342/1) |
Additional Information: | Copyright © The Author(s), 2024. This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit https://creativecommons.org/licenses/by/4.0/. |
Publication ISSN: | 2399-3650 |
Last Modified: | 22 Nov 2024 08:26 |
Date Deposited: | 17 May 2024 15:44 |
Full Text Link: | |
Related URLs: |
https://www.nat ... 005-024-01638-1
(Publisher URL) http://www.scop ... tnerID=8YFLogxK (Scopus URL) |
PURE Output Type: | Article |
Published Date: | 2024-05-04 |
Published Online Date: | 2024-05-04 |
Accepted Date: | 2024-04-18 |
Authors: |
Li, Bo
Saad, David ( 0000-0001-9821-2623) |