A novel spreading dynamic based on adoption against the trend DOI Creative Commons

Jiaqi Hao,

Jinming Ma,

Siyuan Liu

et al.

Frontiers in Physics, Journal Year: 2024, Volume and Issue: 12

Published: June 12, 2024

In the spreading dynamics of previous fashion trends, adoption researchers have neglected to consider that some individuals may behave differently from popular tendencies, which is called opposite-trend behavior. To explore dissemination mechanisms behavior, we first establish adoption-against-trend model. Additionally, an edge division theory based on opposite trends was proposed quantitatively analyze this unique mechanism. This study presents three different degrees each highlighting scenarios. case a strong trend, no occurs. weak limited contact will accelerate information spreading, but it not alter mode spreading. Nevertheless, in moderately degree trend alters Meanwhile, cross-phase transition The findings paper can be applied various areas, including social media and commercial trades.

Language: Английский

Combined effects of information dissemination and resource allocation on spatial spreading of the epidemic DOI

Kebo Zhang,

Xiao Hong, Yuexing Han

et al.

Applied Mathematical Modelling, Journal Year: 2024, Volume and Issue: 137, P. 115672 - 115672

Published: Sept. 4, 2024

Language: Английский

Citations

4
Modelling multiscale infectious disease in complex systems DOI
Jiajun Xian, Minghui Liu,

Xuan Cheng

et al.

Physics Reports, Journal Year: 2025, Volume and Issue: 1113, P. 1 - 57

Published: Feb. 11, 2025

Language: Английский

Citations

0
Modeling two competing infectious diseases in a metropolitan contact network DOI
Yue Xiao, Wenjie Li, Yanyi Nie

et al.

Chaos Solitons & Fractals, Journal Year: 2025, Volume and Issue: 196, P. 116282 - 116282

Published: April 7, 2025

Language: Английский

Citations

0
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
Coevolution of non-pharmaceutical interventions and infectious disease spreading in age-structured populations DOI
Wenjie Li,

Wenbin Gu,

Jiachen Li

et al.

Chaos Solitons & Fractals, Journal Year: 2024, Volume and Issue: 188, P. 115577 - 115577

Published: Oct. 5, 2024

Language: Английский

Citations

3
Coupled Awareness-epidemic Spreading with the Consideration of Self-isolation Behavior DOI
Jiajun Xian, Teng Wang, Wei Zhang

et al.

Physica Scripta, Journal Year: 2024, Volume and Issue: 99(10), P. 105256 - 105256

Published: Aug. 27, 2024

Abstract Epidemic transmission and the associated awareness diffusion are fundamentally interactive. There has been a burgeoning interest in exploring coupled epidemic-awareness dynamic. However, current research predominantly focuses on self-protection behavior stimulated by awareness, paying less attention to self-isolation behavior. Given constraints of government-mandated quarantine measures, spontaneous actions assume greater significance long-term response epidemics. In response, we propose awareness-epidemic spreading model with consideration subsequently employ Micro Markov Chain Approach analyze model. Extensive experiments show that can effectively raise epidemic threshold reduce final outbreak scale. Notably, multiplex networks positive inter-layer correlation, inhibitory effect is greatest. Moreover, there exists metacritical point, only when probability exceeds critical value this will increase probability. addition, growth average degree virtual-contact layer point. This emphasizes significant role curbing transmission, providing valuable perspectives for prevention through interplay spreading.

Language: Английский

Citations

1
A novel spreading dynamic based on adoption against the trend DOI Creative Commons

Jiaqi Hao,

Jinming Ma,

Siyuan Liu

et al.

Frontiers in Physics, Journal Year: 2024, Volume and Issue: 12

Published: June 12, 2024

In the spreading dynamics of previous fashion trends, adoption researchers have neglected to consider that some individuals may behave differently from popular tendencies, which is called opposite-trend behavior. To explore dissemination mechanisms behavior, we first establish adoption-against-trend model. Additionally, an edge division theory based on opposite trends was proposed quantitatively analyze this unique mechanism. This study presents three different degrees each highlighting scenarios. case a strong trend, no occurs. weak limited contact will accelerate information spreading, but it not alter mode spreading. Nevertheless, in moderately degree trend alters Meanwhile, cross-phase transition The findings paper can be applied various areas, including social media and commercial trades.

Language: Английский

Citations

0