SIS-based Modeling and Simulation Analysis on Exercise Benefit Perception Transmission

doi:10.16182/j.issn1004731x.joss.22-FZ0932

Abstract

Abstract:

In order to distinguish the relationship between individual health behavior change and collective health behavior emergence, deal with the challenges of mathematical description of typical health information dissemination processes in social networks and social experiments, SIS(susceptible-infected-susceptible)model is introduced to simulate the dissemination process of classical health information exercise effect perception to meet the requirements of social system complexity, individual diversity and intelligence. To carry out numerical experiments on the propagation process of exercise effect perception to identify the phase change process of the collective health behavior emergence, agent-based modeling and simulation are utilized through NetLogo. Experimental results show that SIS model can effectively describe the health information dissemination process. Health information dissemination effect is highly correlated with sharing enthusiasm decrease cycle and the recovering probability of node state.

Key words: health information dissemination, perception of exercise, SIS(susceptible-infected-susceptible) model, agent based modeling

CLC Number:

Lei Wang, Jinhai Sun, Tuojian Li. SIS-based Modeling and Simulation Analysis on Exercise Benefit Perception Transmission[J]. Journal of System Simulation, 2022, 34(12): 2566-2574.

Figures/Tables 9

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变量名称	含义说明
population	智能体Agent数量
tt	信息传播积极性消减周期
model	所选择模型

变量名称	含义说明
initial-outbreak-size	最初爆发节点数
virus check frequency	病毒检查频率
virus-spread-chance	传播几率
recovery-chance	复态几率

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