Dissemination dynamics based on delayed behavior on double-layer networks DOI
Lei Li,

Yuemei Ren,

Ningbo Zhang

et al.

Physics Letters A, Journal Year: 2024, Volume and Issue: 526, P. 129968 - 129968

Published: Oct. 9, 2024

Language: Английский

Effects of positive and negative social reinforcement on coupling of information and epidemic in multilayer networks DOI
Liang’an Huo,

Lin Liang,

Xiaomin Zhao

et al.

Chaos An Interdisciplinary Journal of Nonlinear Science, Journal Year: 2025, Volume and Issue: 35(4)

Published: April 1, 2025

The spread of epidemics is often accompanied by the epidemic-related information, and two processes are interdependent interactive. A social reinforcement effect frequently emerges during transmission both epidemic information. While prior studies have primarily examined role positive in this process, influence negative has largely been neglected. In paper, we incorporate effects establish a two-layer dynamical model to investigate interactive coupling mechanism information transmission. Heaviside step function utilized describe reinforcements actual process. microscopic Markov chain approach used dynamic evolution outbreak threshold derived. Extensive Monte Carlo numerical simulations demonstrate that while alters promotes their spread, does not change but significantly impedes both. addition, publishing more accurate through official channels, intensifying quarantine measures, promoting vaccines treatments for outbreaks, enhancing physical immunity can also help contain epidemics.

Language: Английский

Citations

0

Dissemination dynamics based on delayed behavior on double-layer networks DOI
Lei Li,

Yuemei Ren,

Ningbo Zhang

et al.

Physics Letters A, Journal Year: 2024, Volume and Issue: 526, P. 129968 - 129968

Published: Oct. 9, 2024

Language: Английский

Citations

0