Information Sciences, Journal Year: 2025, Volume and Issue: unknown, P. 122203 - 122203
Published: April 1, 2025
Language: Английский
Applied Mathematics and Computation, Journal Year: 2023, Volume and Issue: 446, P. 127850 - 127850
Published: Feb. 3, 2023
Language: Английский
Citations
14
Chaos Solitons & Fractals, Journal Year: 2023, Volume and Issue: 177, P. 114186 - 114186
Published: Nov. 7, 2023
Language: Английский
Citations
14
Chaos Solitons & Fractals, Journal Year: 2023, Volume and Issue: 177, P. 114296 - 114296
Published: Nov. 22, 2023
Higher-order networks are gaining significant scientific attention due to their ability encode the many-body interactions present in complex systems. However, higher-order have limitation that they only capture of same type. To address this limitation, we a mathematical framework determines topology multiplex and illustrates interplay between dynamics. Specifically, examine diffusion topological signals associated not nodes but also links higher-dimensional simplices simplicial complexes. We leverage on ubiquitous presence overlap couple dynamics among layers, introducing definition Hodge Laplacians Dirac operators. show spectral properties these operators determine Betti numbers. Our numerical investigation synthetic real (connectome, microbiome) complexes indicates coupling layers can either speed up or slow down signals. This is very general be applied study generic systems with multiple types. In particular, results might find applications brain which understood both multilayer higher-order.
Language: Английский
Citations
12
Chaos Solitons & Fractals, Journal Year: 2024, Volume and Issue: 183, P. 114858 - 114858
Published: April 27, 2024
Language: Английский
Citations
5
Chaos An Interdisciplinary Journal of Nonlinear Science, Journal Year: 2024, Volume and Issue: 34(7)
Published: July 1, 2024
Community structure plays a crucial role in realistic networks and different communities can be created by groups of interest activity events, exploring the impact community properties on collective dynamics is an active topic field network science. Here, we propose new coupled model with time scales for online social offline epidemic spreading networks, which added into to investigate its interacting between information diffusion spreading. We obtain analytical equations threshold MMC (Microscopic Markov Chain) method conduct large quantities numerical simulations using Monte Carlo order verify accuracy method, more valuable insights are also obtained. The results indicate that increase probability mobility individual delay spread epidemic-related network, as well delaying peak infection density network. However, contact ability mobile individuals produces facilitating effect epidemics. Finally, it found stronger acceptance coming from community, lower suggests has inhibitory disease
Language: Английский
Citations
5
Chaos Solitons & Fractals, Journal Year: 2024, Volume and Issue: 186, P. 115264 - 115264
Published: July 17, 2024
Language: Английский
Citations
5
Alexandria Engineering Journal, Journal Year: 2023, Volume and Issue: 75, P. 341 - 349
Published: June 8, 2023
In this study, an epidemiological model with the provaccination and antivaccination susceptible groups is proposed, social dilemma of analyzed. During a pandemic, such as current COVID-19, many individuals get confused to choose option adopting or strategy based on number infected people payoff being infected. proposed model, can obtain immunity either through vaccination by getting disease which known natural immunity. addition, increasing waning influences choice strategy. We used behavior analyze two strategies, where any individual from each group. Moreover, who are already their cost cost. Our results show that, at Nash equilibrium, in both behave same. Further, our numerical results, vaccinations reduce whereas increase rate increases dilemma.
Language: Английский
Citations
11
Chaos An Interdisciplinary Journal of Nonlinear Science, Journal Year: 2024, Volume and Issue: 34(7)
Published: July 1, 2024
Higher-order interactions exist widely in mobile populations and are extremely important spreading epidemics, such as influenza. However, research on high-order interaction modeling of crowds the propagation dynamics above is still insufficient. Therefore, this study attempts to model simulate higher-order among explore their impact epidemic transmission. This simulated spread a spatial network based agent-based modeling. It explored its characteristics it. Meanwhile, we construct state-specific rate equations uniform mixing assumption for further analysis. We found that hysteresis loops an inherent feature networks space under specific scenarios. The evolution curve roughly presents three different states with initial value change, showing levels endemic balance low, medium, high, respectively. Similarly, snapshots parameter diagrams also indicate these types equilibrium states. Populations naturally form components sizes isolations, higher seeds generate network, leading infection densities. phenomenon emphasizes rates propagation. In addition, crowd density movement speed act protective inhibitory factors transmission, respectively, depending degree weaken or enhance effect loops.
Language: Английский
Citations
4
Applied Mathematical Modelling, Journal Year: 2024, Volume and Issue: 137, P. 115672 - 115672
Published: Sept. 4, 2024
Language: Английский
Citations
4
Physica A Statistical Mechanics and its Applications, Journal Year: 2023, Volume and Issue: 621, P. 128723 - 128723
Published: April 25, 2023
Language: Английский
Citations
9