Journal of System Simulation
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.
Recommended Citation
Wang, Lei; Sun, Jinhai; and Li, Tuojian
(2022)
"SIS-based Modeling and Simulation Analysis on Exercise Benefit Perception Transmission,"
Journal of System Simulation: Vol. 34:
Iss.
12, Article 6.
DOI: 10.16182/j.issn1004731x.joss.22-FZ0932
Available at:
https://dc-china-simulation.researchcommons.org/journal/vol34/iss12/6
First Page
2566
Revised Date
2022-11-01
DOI Link
https://doi.org/10.16182/j.issn1004731x.joss.22-FZ0932
Last Page
2574
CLC
G80
Recommended Citation
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.
DOI
10.16182/j.issn1004731x.joss.22-FZ0932
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