Epidemic spread dynamics in multilayer networks: Probing the impact of information outbreaks and reception games

Chaos An Interdisciplinary Journal of Nonlinear Science, Journal Year: 2025, Volume and Issue: 35(3)

Published: March 1, 2025

The co-evolution of epidemic and information spread within multilayer networks is a current hot topic in network science. During outbreaks, the accompanying exhibits both outbreak reception game behaviors; yet, these complex phenomena have been scarcely addressed existing research. In this paper, we model outbreaks using activated individuals who transmit messages to their neighbors, while also considering behaviors receivers. By focusing on two factors, establish featuring games. Employing microscopic Markov chain method, analyze propagation dynamics derive thresholds, corroborating results with Monte Carlo simulations. Our findings indicate that suppress whereas increased costs promote spread. Smooth dissemination further inhibits transmission epidemic. Additionally, observe heterogeneity structure between virtual physical layers reduces ultimate scale infection, layer exerting more substantial influence. These insights are crucial for elucidating co-evolutionary mechanisms developing effective prevention control strategies.

Language: Английский

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The impact of cross-layer movement on epidemic spreading in time-varying multiplex networks

Physica Scripta, Journal Year: 2025, Volume and Issue: 100(4), P. 045206 - 045206

Published: Feb. 24, 2025

Abstract In the context of real-world multiplex networks, movement individuals across different layers introduced interlayer coupling, which significantly affected diffusion processes within each layer. Additionally, relationships among undergo changes over time. Despite abundant literature on dynamics propagation in complex impact transitions (or jumps, shifts) spread epidemics activity-driven time-varying networks remains a relatively unexplored area. this study, we two-layer network model that incorporated subset nodes known as inter-layer travelers, allowing them to move between layers. We developed theoretical framework based quenched mean-field approximation, yielded precise estimations epidemic thresholds and final states both Our findings indicated hopping behavior travelers nature impeded disease transmission process. Furthermore, stronger heterogeneity individual activities could promote spread. However, enhanced sub-networks with lower node activity while inhibiting it higher heterogeneity. contact capacity promoted spread, traveler spreading sparse layer suppressing dense Notably, an positive correlation two can greatly suppress dynamics, suggesting practical effective approach controlling real world.

Language: Английский

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Negative public opinion and minority-driven social change in hypergraphs

Chaos An Interdisciplinary Journal of Nonlinear Science, Journal Year: 2025, Volume and Issue: 35(3)

Published: March 1, 2025

The phenomenon where a committed minority overturns established social norms, frequently witnessed in revolutions and elections, has drawn extensive attention as it powerfully showcases the profound influence of strong personal convictions. In order to unravel underlying mechanisms crucial role public opinion within dynamic process can leverage negative challenge status even overturn norms when critical threshold is reached, we investigated effects by integrating into well-established traditional naming game model. It was found that there exists an optimal range influence, which facilitates minority’s ability gain power achieve consensus. Notably, our results show smaller mass individuals could trigger consensus behavior under this mechanism. introduction propagation yielded intriguing results, offering new perspective on expanding formation dynamics, particularly diverse environments.

Language: Английский

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Human prophylaxis-driven cooperative spreading between information and epidemics in duplex networks

Chaos An Interdisciplinary Journal of Nonlinear Science, Journal Year: 2025, Volume and Issue: 35(3)

Published: March 1, 2025

Human behaviors play a crucial role in the intertwined dynamics of information diffusion and epidemic spreading. In turn, spread epidemics also affects individual behavioral changes. Understanding how propagate when individuals make coordinated decisions is essential to designing practicable control policies. To delve into this, we modify unaware–aware–unaware susceptible-infected-susceptible (UAU-SIS) model by two-strategy game-theory dilemma explore protective drive interaction between Our theoretical analysis reveals that at onset an epidemic, will not take any preventive measures, with threshold being determined primarily topological structure layer. Extensive simulations help us emergence behaviors. A key finding existence protection threshold, beyond which aware begin adopt measures. Furthermore, our findings suggest high recovery rate or cost associated contracting disease, coupled poor failure measures low forgotten rate, leads significant number participating self-protection, curbing epidemics. Moreover, even though evolve layer, topology layer profoundly impacts both This work offers new insight processes spreading driven human behaviors, could decision-makers gain some viable approaches intervening diseases.

Language: Английский

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The influence of the network community structure on traffic capacity

Physics Letters A, Journal Year: 2024, Volume and Issue: unknown, P. 130198 - 130198

Published: Dec. 1, 2024

Language: Английский

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