Network robustness against cascading failures with time-varying adaptive behaviors triggered by information propagation

Bo Song, Ziyang Fan, Yurong Song, Lei Ding, Yi Qin and Xu Wang

Chaos, Solitons & Fractals, 2026, vol. 202, issue P1

Abstract: This paper introduces a multiplex network model to explore how information dissemination can mitigate cascading failures. The model couples an infrastructure network with an information propagating layer and incorporates a novel, time-varying redistribution coefficient to capture adaptive, self-protective behaviors. It also accounts for the differing time scales of information spread and failure propagation. The analysis reveals that information transmission significantly enhances network robustness. Specifically, a higher information-transmission rate monotonically increases both the number of surviving nodes and the size of the largest connected component. Furthermore, scale-free (BA) information networks are more effective at suppressing cascades than small-world (WS) or random (ER) topologies, and greater disparity between the time scales of information and failure further strengthens this protective effect. These findings underscore the critical role of rapid information flow in designing resilient critical infrastructures.

Keywords: Network robustness; Dynamic adaptive behaviors; Cascading failure; Time-varying incomplete redistribution; Multiplex networks (search for similar items in EconPapers)
Date: 2026
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Persistent link: https://EconPapers.repec.org/RePEc:eee:chsofr:v:202:y:2026:i:p1:s0960077925014511

DOI: 10.1016/j.chaos.2025.117438

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