 Dynamic resilience in complex networksXingyu Pan and Zerong Guo Chaos, Solitons & Fractals, 2025, vol. 196, issue C Abstract: Many real-world systems comprise fundamental elements that exhibit mutual exclusion and alternating activation. Here, we develop a framework for the evolution of network structures that captures the behaviors of such systems. We define the dynamic resilience of temporal networks using variational rates to measure how the evolutionary trajectories of network structures diverge under perturbations. We show that perturbations to specific edges and states of mutually exclusive elements can cause evolutionary trajectories of network structures to deviate significantly from the original path. Furthermore, we demonstrate that traditional resilience factors do not affect dynamic resilience, which is instead governed by mutual exclusion within our framework. Our results advance the study of network resilience, particularly for networks with evolving structures, offering a novel perspective for identifying crucial perturbations within the context of the states of mutually exclusive elements. Keywords: Physical networks; Temporal networks; Evolution of network structure; Sensitivity of Temporal networks; Dynamic resilience (search for similar items in EconPapers) Downloads: (external link) Related works: Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text Persistent link: https://EconPapers.repec.org/RePEc:eee:chsofr:v:196:y:2025:i:c:s0960077925003820 DOI: 10.1016/j.chaos.2025.116369 Access Statistics for this article Chaos, Solitons & Fractals is currently edited by Stefano Boccaletti and Stelios Bekiros More articles in Chaos, Solitons & Fractals from Elsevier |
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