Optimized event synchronization method: Identifying synchronous spatiotemporal patterns of extreme events

Li-Na Wang, Yu-Wen Huang, Chen-Rui Zang, Jia-Qi Cao and Yao Meng

Chaos, Solitons & Fractals, 2025, vol. 198, issue C

Abstract: Extreme events and their evolution and development have become important topics in various fields such as meteorological science, social science, and neuroscience. Statistical modeling methods are commonly used to study the interdependence between these extreme events. In this paper, we propose an optimized event synchronization (OES) method. By proposing minimum delay, this method optimizes the identification criteria of event synchronization. In cases where events are temporally clustered, the OES method enhances the recognition ability of event synchronization features. The OES method is not affected by event aggregation and performs more stably under different parameters. Based on the synchronous relationship and synchronous extent of high-traffic events in a communication system, a functional communication network is constructed. By analyzing the topological characteristics of this functional communication network, we aim to study the synchronous spatiotemporal patterns of high-traffic events, including the synchronous area, the extent of synchronization impact and the spatial continuity.

Keywords: Complex networks; Event synchronization; Communication systems; Optimized event synchronization; Extreme events (search for similar items in EconPapers)
Date: 2025
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Persistent link: https://EconPapers.repec.org/RePEc:eee:chsofr:v:198:y:2025:i:c:s0960077925005764

DOI: 10.1016/j.chaos.2025.116563

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