Information Sciences, Год журнала: 2025, Номер unknown, С. 122203 - 122203
Опубликована: Апрель 1, 2025
Язык: Английский
Information Sciences, Год журнала: 2025, Номер unknown, С. 122203 - 122203
Опубликована: Апрель 1, 2025
Язык: Английский
Applied Mathematics and Computation, Год журнала: 2023, Номер 446, С. 127850 - 127850
Опубликована: Фев. 3, 2023
Язык: Английский
Процитировано
14Chaos Solitons & Fractals, Год журнала: 2023, Номер 177, С. 114186 - 114186
Опубликована: Ноя. 7, 2023
Язык: Английский
Процитировано
14Chaos Solitons & Fractals, Год журнала: 2023, Номер 177, С. 114296 - 114296
Опубликована: Ноя. 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.
Язык: Английский
Процитировано
12Chaos Solitons & Fractals, Год журнала: 2024, Номер 183, С. 114858 - 114858
Опубликована: Апрель 27, 2024
Язык: Английский
Процитировано
5Chaos An Interdisciplinary Journal of Nonlinear Science, Год журнала: 2024, Номер 34(7)
Опубликована: Июль 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
Язык: Английский
Процитировано
5Chaos Solitons & Fractals, Год журнала: 2024, Номер 186, С. 115264 - 115264
Опубликована: Июль 17, 2024
Язык: Английский
Процитировано
5Alexandria Engineering Journal, Год журнала: 2023, Номер 75, С. 341 - 349
Опубликована: Июнь 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.
Язык: Английский
Процитировано
11Chaos An Interdisciplinary Journal of Nonlinear Science, Год журнала: 2024, Номер 34(7)
Опубликована: Июль 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.
Язык: Английский
Процитировано
4Applied Mathematical Modelling, Год журнала: 2024, Номер 137, С. 115672 - 115672
Опубликована: Сен. 4, 2024
Язык: Английский
Процитировано
4Physica A Statistical Mechanics and its Applications, Год журнала: 2023, Номер 621, С. 128723 - 128723
Опубликована: Апрель 25, 2023
Язык: Английский
Процитировано
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