Contagion dynamics on higher-order networks

Nature Reviews Physics, Год журнала: 2024, Номер 6(8), С. 468 - 482

Опубликована: Июль 5, 2024

Язык: Английский

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Diffusion of resources and their impact on epidemic spreading in multilayer networks with simplicial complexes

Chaos Solitons & Fractals, Год журнала: 2022, Номер 164, С. 112734 - 112734

Опубликована: Окт. 3, 2022

Язык: Английский

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Epidemic trajectories and awareness diffusion among unequals in simplicial complexes

Chaos Solitons & Fractals, Год журнала: 2023, Номер 173, С. 113657 - 113657

Опубликована: Июнь 15, 2023

Язык: Английский

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The impact of nodes of information dissemination on epidemic spreading in dynamic multiplex networks

Chaos An Interdisciplinary Journal of Nonlinear Science, Год журнала: 2023, Номер 33(4)

Опубликована: Апрель 1, 2023

Epidemic spreading processes on dynamic multiplex networks provide a more accurate description of natural than those single layered networks. To describe the influence different individuals in awareness layer epidemic spreading, we propose two-layer network-based model, including some who neglect epidemic, and explore how with properties will affect spread epidemics. The network model is divided into an information transmission disease layer. Each node represents individual connections layers. Individuals be infected lower probability compared to unaware individuals, which corresponds various prevention measures real life. We adopt micro-Markov chain approach analytically derive threshold for proposed demonstrates that affects spreading. then would process through extensive Monte Carlo numerical simulations. find high centrality significantly inhibit infectious diseases. Additionally, conjectures explanations approximately linear effect low number individuals.

Язык: Английский

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Navigating epidemic spread through multiplex networks: Unveiling turing instability and cross-diffusion dynamics

Physica A Statistical Mechanics and its Applications, Год журнала: 2025, Номер 660, С. 130312 - 130312

Опубликована: Янв. 8, 2025

Язык: Английский

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A multi-information epidemic spreading model on a two-layer network

Information Sciences, Год журнала: 2023, Номер 651, С. 119723 - 119723

Опубликована: Сен. 29, 2023

Язык: Английский

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Impact of simplicial complexes on epidemic spreading in partially mapping activity-driven multiplex networks

Chaos An Interdisciplinary Journal of Nonlinear Science, Год журнала: 2023, Номер 33(6)

Опубликована: Июнь 1, 2023

Over the past decade, coupled spread of information and epidemic on multiplex networks has become an active interesting topic. Recently, it been shown that stationary pairwise interactions have limitations in describing inter-individual , thus, introduction higher-order representation is significant. To this end, we present a new two-layer activity-driven network model, which considers partial mapping relationship among nodes across two layers simultaneously introduces simplicial complexes into one layer, to investigate effect 2-simplex inter-layer rate transmission. In top network, called virtual characterizes dissemination online social networks, where can be diffused through and/or interactions. The bottom named as physical contact denotes infectious diseases real-world networks. It noteworthy correspondence between not one-to-one but mapping. Then, theoretical analysis using microscopic Markov chain (MMC) method performed obtain outbreak threshold epidemics, extensive Monte Carlo (MC) simulations are also carried out validate predictions. obviously MMC used estimate threshold; meanwhile, inclusion layer or introductory inhibit epidemics. Current results conducive understanding coupling behaviors epidemics disease-related information.

Язык: Английский

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Higher-order non-Markovian social contagions in simplicial complexes

Communications Physics, Год журнала: 2024, Номер 7(1)

Опубликована: Июнь 1, 2024

Abstract Higher-order structures such as simplicial complexes are ubiquitous in numerous real-world networks. Empirical evidence reveals that interactions among nodes occur not only through edges but also higher-dimensional triangles. Nevertheless, classic models the threshold model fail to capture group within these higher-order structures. In this paper, we propose a non-Markovian social contagion model, considering both and characteristics of spreading processes. We develop mean-field theory describe its evolutionary dynamics. Simulation results reveal is capable predicting steady state model. Our theoretical analyses indicate there an equivalence between Markovian contagions. Besides, find recovery can boost system resilience withstand large-scale infection or small-scale under different conditions. This work deepens our understanding behaviors contagions real world.

Язык: Английский

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Interplay of simplicial information propagation and epidemic spreading on multiplex metapopulation networks

Chaos Solitons & Fractals, Год журнала: 2024, Номер 180, С. 114490 - 114490

Опубликована: Янв. 22, 2024

Язык: Английский

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Chimera states in coupled pendulum with higher-order interaction

Chaos Solitons & Fractals, Год журнала: 2023, Номер 170, С. 113325 - 113325

Опубликована: Март 14, 2023

Язык: Английский

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