Published: Jan. 1, 2024
Language: Английский
Chaos Solitons & Fractals, Journal Year: 2025, Volume and Issue: 193, P. 116082 - 116082
Published: Feb. 8, 2025
Language: Английский
Citations
0
Signal Processing, Journal Year: 2025, Volume and Issue: unknown, P. 109930 - 109930
Published: Feb. 1, 2025
Language: Английский
Citations
0
Chaos An Interdisciplinary Journal of Nonlinear Science, Journal Year: 2025, Volume and Issue: 35(2)
Published: Feb. 1, 2025
Unlike hollow triangles formed through pairwise interactions, a filled triangle or two-simplex comprises three nodes that form group and represent the most fundamental higher-order interaction. To analyze effects of on robustness world trade networks, we integrate multilateral regional agreements import–export data to construct networks. The topological characteristics indicate significant growth in scale complexity networks over time, with notable decline 2020. Then, introduce node attack strategies designed simulate scenarios where key countries regions withdraw from network. It is revealed network has improved along size complexity, although it diminished further explore factors influencing changes robustness, generate synthetic based random simplicial complex (RSC) model scale-free (SFSC) model. demonstrate increasing average degree enhances while merely number can weaken it. Additionally, exhibit lower due vulnerability hub nodes, contrast higher resilience complexes. These insights emphasize importance fostering interactions strengthening ties for robustness.
Language: Английский
Citations
0
Chaos Solitons & Fractals, Journal Year: 2025, Volume and Issue: 194, P. 116142 - 116142
Published: Feb. 22, 2025
Language: Английский
Citations
0
Chaos An Interdisciplinary Journal of Nonlinear Science, Journal Year: 2025, Volume and Issue: 35(3)
Published: March 1, 2025
In information diffusion within social networks, whether individuals adopt often depends on the current and past they receive. Some based (i.e., no memory), while others rely with memory). Previous studies mainly focused irreversible processes, such as classic susceptible-infected susceptible-infected-recovered threshold models, less attention to reversible processes like susceptible-infected-susceptible model. this paper, we propose a susceptible-adopted-susceptible model study competition between these two types of nodes its impact diffusion. We also examine how memory length differences in adoption thresholds affect process. First, develop homogeneous heterogeneous mean-field theories that accurately predict simulation results. Numerical simulations reveal when node are equal, increasing raises propagation threshold, thereby suppressing When differ, non-memory having lower than memory-based nodes, latter has little effect former. However, is much higher significantly suppresses nodes. find degree heterogeneity increases, outbreak size epidemic becomes smaller, decreases. This work offers deeper insights into non-memory-based contagion.
Language: Английский
Citations
0
Physical review. E, Journal Year: 2025, Volume and Issue: 111(4)
Published: April 4, 2025
During epidemic outbreaks, information dissemination plays a pivotal role in shaping individual perceptions, which turn influence contact behavior and resource acquisition, collectively determining infection risk. To capture this intricate interplay, we propose comprehensive coevolutionary dynamics model that integrates information, awareness, activity, resources, within multiplex network framework. Through the development of theoretical analysis coupled with extensive numerical verifications, uncover nonmonotonic effects on dynamics. Paradoxically, excessive flow can intensify competition among individuals, leading to inefficient allocation ultimately exacerbating epidemic. Our findings highlight importance optimized allocation, showing moderately prioritizing aware individuals resources effectively reduce rates, especially as increases. Additionally, explore optimal balance between emphasizing its strong dependence availability, while activity frequency experts comparatively minor impact. This study advances modeling dynamics, providing valuable insights practical strategies for effective management control.
Language: Английский
Citations
0
Communications Physics, Journal Year: 2025, Volume and Issue: 8(1)
Published: April 22, 2025
Language: Английский
Citations
0
New Journal of Physics, Journal Year: 2024, Volume and Issue: 26(10), P. 103041 - 103041
Published: Oct. 1, 2024
Abstract Complex dynamical behaviors, such as bistable and periodic phenomena, have been shown to emerge due group interactions in higher-order networks. Traditionally, the transitions between these behaviors are primarily driven by changing model parameters that represent transmission characteristics of a single infectious disease, while maintaining fixed network structure. However, for newly emerging diseases, modifying structures is crucial generally fixed. This study investigates altering structure, specifically facet degree heterogeneity simplicial complex, under same parameters. We develop incorporating distributions derive corresponding outbreak thresholds. Firstly, we validated rationality using Monte Carlo simulation. Subsequently, comparing general base different structures, demonstrate advantage capturing behavior. Furthermore, it was discovered variations lead phase stability region equilibrium. finally provide distribution stable equilibrium regions with varying heterogeneity. These findings offer valuable insights prevention control diseases.
Language: Английский
Citations
1
Published: Jan. 1, 2024
Language: Английский
Citations
0