Immunization strategies for simplicial irreversible epidemic on simplicial complex

Li, Wenjie; Ni, Linghao; Zhang, Yue; Su, Sheng; Peng, Bin; Wang, Wei

doi:10.3389/fphy.2022.1018844

Cited by 3 publications

(2 citation statements)

References 44 publications

(25 reference statements)

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“…Li et al [48] also proposed a competing spread model for two simplicial irreversible epidemics on higher-order networks, and later discussed the immunization strategies for a simplicial irreversible epidemic on the simplicial complex. [49] Other scholars have focused on the effect of individual heterogeneity on dynamics. Nie et al [50] proposed a dynamics model with a homophily effect and heterogeneous populations.…”

Section: Introductionmentioning

confidence: 99%

Impact of individual behavior adoption heterogeneity on epidemic transmission in multiplex networks

Huo

2023

Chinese Phys. B

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In recent years, the impact of information diffusion and individual behavior adoption patterns on epidemic transmission in complex networks has received significant attention. In the immunization behavior adoption process, different individuals often make behavioral decisions in different ways, and it is of good practical importance to study the influence of individual heterogeneity on the behavior adoption process. In this paper, we propose a three-layer coupled model to analyze the co-evolution process of official information diffusion, immunization behavior adoption and epidemic transmission in multiplex networks, which focuses on the individual heterogeneity on adoption behavior patterns. Specifically, we investigate the impact of the credibility of social media and the risk sensitivity of the population on behavioral adoption, in further study of the effect of behavioral adoption heterogeneity on epidemic transmission. Then we use the microscopic Markov chain approach (MMCA) to describe the dynamics process and capture the evolution of the epidemic threshold. Finally, we conduct extensive simulations to prove our findings. Our results suggest that enhancing the credibility of social media can raise the epidemic transmission threshold, it is effective to control the epidemic transmission during the dynamic process. In addition, improving an individual's risk sensitivity and thus taking effective protective measures can also reduce the size of the infected individuals and delay the epidemic outbreak. Our study explores the role of individual heterogeneity in behavioral adoption in real networks, more clearly models the credibility of social media and risk sensitivity of the population on the epidemic transmission dynamic, and provides a useful reference for managers to formulate epidemic control and prevention policies.

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Section: Introductionmentioning

confidence: 99%

Impact of individual behavior adoption heterogeneity on epidemic transmission in multiplex networks

Huo

2023

Chinese Phys. B

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“…into complex networks, where nodes represent individuals or entities, intra-layer connected edges represent interactions between nodes of the same layer, and interlayer connected edges represent coupling relationships between nodes of different layers [34], which may lead to results beyond what can be captured by a single-layer network [35]. Based on multilayer networks, researchers have in turn conducted a number of meaningful studies on spreading dynamics over complex networks from multiple perspectives, including network structure [36], immunization strategies [37], and demographics [38]. Among them, understanding the specific network topology is fundamental to understanding the function and behavior of complex systems [39,40].…”

Section: Introductionmentioning

confidence: 99%

Research on the Interaction between Information and Behavior Based on Small Group Effect on Multilayer Social Networks

You,

Zhang,

2023

INT J COMPUT COMMUN, Int. J. Comput. Commun. Control

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In the era of big data, massive amounts of information play an important role in individual behavior and decision-making. In order to investigate the interaction mechanism between information and individual behavior, we consider the influence of the "small group" network structure in social networks, and construct an information-behavior coupled dynamics propagation model (UAL-NBN) based on small group effect. Then we carry out theoretical analysis and derive the dynamic evolution equations for the model used the Micro Markov Chain Approach (MMCA). And we verify the correctness of the theoretical analysis by performing Monte Carlo simulations (MC). The results show that the small group effect does promote the spread of information and behavior in the population, which is reflected in reducing the epidemic threshold and increasing the outbreak size. In addition, we also conclude that the more small group structures exist in social networks, the more significant the promotion effect of the small group effect is. Finally, we describe the specific application of the model in scenarios such as epidemic control, rumor governance, social behavior advocacy, and consumer marketing, and provide theoretical reference and suggestions for the government and other relevant departments to formulate policies which promote the spread of behavior in society through information dissemination.

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A small global village: the effects of collectivist, tight and Confucian cultures on the spread of COVID-19

Liu,

Wu,

Lin

et al. 2023

Humanit Soc Sci Commun

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While previous studies have emphasised several important factors associated with the spread of COVID-19 and strategies to reduce transmission, few studies have focused on the social and cultural factors that may influence its spread. This study analyses the spread of COVID-19 from a cross-country/region cultural perspective and finds that countries and regions with a collectivistic, Confucian or tight (restrictive) culture experience a lower spread rate of COVID-19. The results are robust to controlling for several factors, including population, age structure, gross domestic product (GDP) per capita, previous SARS occurrence, smoking prevalence, and religion. A one standard deviation increase in the collectivism score is associated with a 1.38% reduction of the weekly growth rate of COVID-19 cases. More importantly, the effect of culture on the spread of COVID-19 becomes stronger during national or regional lockdowns. Corroborating these main results, supporting analyses find a significant effect of culture on national and regional COVID-19 death rates. These findings suggest that to manage the ongoing surges in COVID-19 outbreaks, governments should implement public health policies that emphasise the ideas of common interest, personal responsibility and strong cultural norms, and sense of community, as this pandemic has revealed that people all live together in a small global village. Why did Korea, Japan & Taiwan have so few deaths? I see face-covering and the Confucian idea of common good as key. –Michael Levitt, the Nobel Prize Laureate (2020)

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Immunization strategies for simplicial irreversible epidemic on simplicial complex

Cited by 3 publications

References 44 publications

Impact of individual behavior adoption heterogeneity on epidemic transmission in multiplex networks

Impact of individual behavior adoption heterogeneity on epidemic transmission in multiplex networks

Research on the Interaction between Information and Behavior Based on Small Group Effect on Multilayer Social Networks

A small global village: the effects of collectivist, tight and Confucian cultures on the spread of COVID-19

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