系统仿真学报 ›› 2022, Vol. 34 ›› Issue (12): 2566-2574.doi: 10.16182/j.issn1004731x.joss.22-FZ0932

• 仿真建模理论与方法 • 上一篇    下一篇

基于SIS模型的锻炼获益感知传播建模与仿真

王磊1(), 孙晋海2(), 李拓键2   

  1. 1.山东大学 管理学院,山东 济南 250100
    2.山东大学 体育学院,山东 济南 250061
  • 收稿日期:2022-08-08 修回日期:2022-11-01 出版日期:2022-12-31 发布日期:2022-12-21
  • 通讯作者: 孙晋海 E-mail:wanglei_daisy@163.com;sunjinhai@126.com
  • 作者简介:王磊(1987-),女,博士,研究方向为体育管理科学、健康行为数据与智能决策。E-mail:wanglei_daisy@163.com
  • 基金资助:
    山东省社会科学基金青年项目(21DTYJ01)

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

Lei Wang1(), Jinhai Sun2(), Tuojian Li2   

  1. 1.School of Management, Shandong University, Ji'nan 250100, China
    2.School of Physical Education, Shandong University, Ji'nan 250061, China
  • Received:2022-08-08 Revised:2022-11-01 Online:2022-12-31 Published:2022-12-21
  • Contact: Jinhai Sun E-mail:wanglei_daisy@163.com;sunjinhai@126.com

摘要:

为辨析个体健康行为改变与群体健康行为涌现之间的关系,解决在社交网络中对锻炼效果感知等典型健康信息传播过程进行数学刻画困难、社会试验难以开展等问题,引入传染病动力学SIS(susceptible-infected-susceptible)模型,对经典健康信息锻炼效果感知的传播过程进行建模仿真,以满足社会系统复杂性和个体多样性、智能性要求。利用NetLogo平台、采用基于Agent的建模仿真方法,对锻炼获益感知的传播过程进行数值实验,识别群体健康行为改变涌现的相变过程。实验表明:该模型能够有效刻画锻炼效果感知信息传播过程,其传播效果与传播积极性消减周期长度、节点复态几率等因素高度相关。

关键词: 健康信息传播, 锻炼效果感知, SIS(susceptible-infected-susceptible)模型, 多智能体建模仿真

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

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