Influences of individual interaction validity on coupling propagation of information and disease in a two-layer higher-order network

Chaos An Interdisciplinary Journal of Nonlinear Science, Journal Year: 2025, Volume and Issue: 35(2)

Published: Feb. 1, 2025

All complex phenomena in systems arise from individual interactions, which include pairs and higher-order forms. Research indicates that various physical mental factors can impact the validity of these potentially preventing diffusion phenomena. This paper explores influences interaction on coupling propagation information disease a two-layer network. Interaction is defined using threshold function based activity level. The dynamic evolution equations nodes are derived by microscopic Markov chain approach, transmission determined. Extensive numerical simulations both artificial real-world networks reveal interactions significantly enhance related information. Reducing levels diminishes validity, thereby restricting transmission. Moreover, optimizing control be achieved increasing public virtual social while reducing it contact networks. Strengthening interlayer enhances self-protective measures, thus amplifying suppression

Language: Английский

Observer-based event-triggered impulsive synchronization control of heterogeneous complex networks with bit-rate constraints

Information Sciences, Journal Year: 2025, Volume and Issue: unknown, P. 122268 - 122268

Published: May 1, 2025

Language: Английский

Synchronization on complex dynamical networks via intermittently sampled-data pinning control

Physica A Statistical Mechanics and its Applications, Journal Year: 2024, Volume and Issue: unknown, P. 130109 - 130109

Published: Sept. 1, 2024

Language: Английский