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

et al.

Information Sciences, Journal Year: 2025, Volume and Issue: unknown, P. 122203 - 122203

Published: April 1, 2025

Language: Английский

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

Yunxiang Hou,

Yikang Lu, Yuting Dong

et al.

Applied Mathematics and Computation, Journal Year: 2023, Volume and Issue: 446, P. 127850 - 127850

Published: Feb. 3, 2023

Language: Английский

Citations

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

et al.

Chaos Solitons & Fractals, Journal Year: 2023, Volume and Issue: 177, P. 114186 - 114186

Published: Nov. 7, 2023

Language: Английский

Citations

14

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

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

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

et al.

Chaos Solitons & Fractals, Journal Year: 2024, Volume and Issue: 183, P. 114858 - 114858

Published: April 27, 2024

Language: Английский

Citations

5

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

et al.

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

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

Chaos Solitons & Fractals, Journal Year: 2024, Volume and Issue: 186, P. 115264 - 115264

Published: July 17, 2024

Language: Английский

Citations

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, 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

Epidemic spreading on spatial higher-order network DOI

Wenbin Gu,

Yue Qiu,

Wenjie Li

et al.

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

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

Kebo Zhang,

Xiao Hong, Yuexing Han

et al.

Applied Mathematical Modelling, Journal Year: 2024, Volume and Issue: 137, P. 115672 - 115672

Published: Sept. 4, 2024

Language: Английский

Citations

4

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

Yuan-Hao Xu,

Wang HaoJie,

Zhongwen Lü

et al.

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