Coupling dynamics of epidemic and multi-source information: The roles of social reinforcement and risk perception DOI
Xiao Hong, Yuexing Han, Bing Wang

и другие.

Information Sciences, Год журнала: 2025, Номер unknown, С. 122203 - 122203

Опубликована: Апрель 1, 2025

Язык: Английский

Impact of different social attitudes on epidemic spreading in activity-driven networks DOI

Yunxiang Hou,

Yikang Lu, Yuting Dong

и другие.

Applied Mathematics and Computation, Год журнала: 2023, Номер 446, С. 127850 - 127850

Опубликована: Фев. 3, 2023

Язык: Английский

Процитировано

14

Impact of higher-order interactions and individual emotional heterogeneity on information-disease coupled dynamics in multiplex networks DOI
Xuemei You, Man Zhang, Yinghong Ma

и другие.

Chaos Solitons & Fractals, Год журнала: 2023, Номер 177, С. 114186 - 114186

Опубликована: Ноя. 7, 2023

Язык: Английский

Процитировано

14

Topology and dynamics of higher-order multiplex networks DOI Creative Commons
Sanjukta Krishnagopal, Ginestra Bianconi

Chaos 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

12

Heterogeneous propagation processes between awareness and epidemic on signed multiplex networks DOI
Meiling Feng, L.H. Liu, Jiaxing Chen

и другие.

Chaos Solitons & Fractals, Год журнала: 2024, Номер 183, С. 114858 - 114858

Опубликована: Апрель 27, 2024

Язык: Английский

Процитировано

5

Impact of community structure on the spread of epidemics on time-varying multiplex networks DOI
Meiling Feng, Shuofan Zhang, Chengyi Xia

и другие.

Chaos 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

5

Impact of positive and negative information on epidemic spread in a three-layer network DOI
Dun Han, Xin Wang

Chaos Solitons & Fractals, Год журнала: 2024, Номер 186, С. 115264 - 115264

Опубликована: Июль 17, 2024

Язык: Английский

Процитировано

5

Investigating the social dilemma of an epidemic model with provaccination and antivaccination groups: An evolutionary approach DOI Creative Commons
Md. Mamun-Ur-Rashid Khan, Jun Tanimoto

Alexandria 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

11

Epidemic spreading on spatial higher-order network DOI

Wenbin Gu,

Yue Qiu,

Wenjie Li

и другие.

Chaos 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

4

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

Kebo Zhang,

Xiao Hong, Yuexing Han

и другие.

Applied Mathematical Modelling, Год журнала: 2024, Номер 137, С. 115672 - 115672

Опубликована: Сен. 4, 2024

Язык: Английский

Процитировано

4

Impact of awareness dissemination on epidemic reaction–diffusion in multiplex networks DOI

Yuan-Hao Xu,

Wang HaoJie,

Zhongwen Lü

и другие.

Physica A Statistical Mechanics and its Applications, Год журнала: 2023, Номер 621, С. 128723 - 128723

Опубликована: Апрель 25, 2023

Язык: Английский

Процитировано

9