首页|Dynamics of information diffusion and disease transmission in time-varying multiplex networks with asymmetric activity levels

Dynamics of information diffusion and disease transmission in time-varying multiplex networks with asymmetric activity levels

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While the interaction between information and disease in static networks has been extensively investigated,many studies have ignored the characteristics of network evolution.In this study,we construct a new two-layer coupling model to explore the interactions between information and disease.The upper layer describes the diffusion of disease-related information,and the lower layer represents the disease transmission.We then use power-law distributions to examine the influence of asymmetric activity levels on dynamic propagation,revealing a mapping relationship characterizing the interconnected propagation of information and diseases among partial nodes within the network.Subsequently,we derive the disease outbreak threshold by using the microscopic Markov-chain approach(MMCA).Finally,we perform extensive Monte Carlo(MC)numerical simulations to verify the accuracy of our theoretical results.Our findings indicate that the activity levels of individuals in the disease transmission layer have a more significant influence on disease transmission compared with the individual activity levels in the information diffusion layer.Moreover,reducing the damping factor can delay disease outbreaks and suppress disease transmission,while improving individual quarantine measures can contribute positively to disease control.This study provides valuable insights into policymakers for developing outbreak prevention and control strategies.

information diffusiondisease transmissionasymmetric activity levelsquarantine strength

谢笑笑、霍良安、董雅芳、程英英

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Business School,University of Shanghai for Science and Technology,Shanghai 200093,China

School of Intelligent Emergency Management,University of Shanghai for Science and Technology,Shanghai 200093,China

School of Management,Henan University of Science and Technology,Luoyang 471023,China

国家自然科学基金国家自然科学基金Program for Professor of Special Appointment(Eastern Scholar)at Shanghai Institutions of Higher LearningProject for the Natural Science Foundation of Shanghai,China

721741217177411121ZR1444100

2024

10.1088/1674-1056/ad1176

中国物理B(英文版)
中国物理学会和中国科学院物理研究所

中国物理B(英文版)

CSTPCDEI
影响因子：0.995
ISSN：1674-1056
年,卷(期)：2024.33(3)
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