个人相互作用有效性的影响,在双层高阶网络中的信息和疾病传播的合传播
Ming Li1, Liang'an Huo1,2
1Business School, University of Shanghai for Science and Technology, Shanghai 200093, China.
Chaos (Woodbury, N.Y.)
|February 26, 2025
概括
复杂系统中的更高阶相互作用会扩大疾病和信息的传播. 控制传播涉及管理个人活动水平和网络交互,特别是在虚拟与物理社交网络.
科学领域:
- 复杂系统科学 复杂系统科学
- 网络科学 网络科学
- 流行病学 流行病学
背景情况:
- 复杂的现象是从个人相互作用中产生的,包括高阶形式.
- 相互作用有效性受到物理和心理因素的影响,可以阻碍扩散过程.
- 了解这些动态对于建模信息和疾病传播至关重要.
研究的目的:
- 调查相互作用有效性对信息和疾病传播在双层高阶网络中的影响.
- 根据个别活动水平来定义和量化相互作用的有效性.
- 在这个网络模型中确定疾病的传播值.
主要方法:
- 使用微观马尔科夫链方法来推导网络节点的动态演化方程.
- 通过依赖个体活动的值函数来定义相互作用有效性.
- 在人工和现实世界的网络上进行广泛的数值模拟.
主要成果:
- 高阶相互作用显著加快了疾病和相关信息的传播.
- 个体活动水平的降低降低了相互作用的有效性,有效地限制了疾病的传播.
- 优化疾病控制需要在虚拟社交网络和物理接触网络中平衡活动.
结论:
- 相互作用有效性是复杂网络中调节扩散过程的关键因素.
- 跨不同网络类型的个人活动的战略管理可以加强疾病控制.
- 加强层间合可以改善自我保护行为和信息驱动的疾病抑制.
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