不对称信息和流行病合动态受多层网络中异质动态行为调节
Wei Xu1, Shanshan Chen1, Ke-Ke Shang2
1Department of Computer Science, School of Electronic and Electrical Engineering, Shanghai University of Engineering Science, Shanghai 201620, China.
Chaos (Woodbury, N.Y.)
|November 21, 2025
概括
全球信息有效地制了流行病的传播,而不是行为变化. 意识类型和感知率影响复杂网络中的疾病传播动态.
科学领域:
- 复杂的系统复杂的系统.
- 流行病学 流行病学
- 网络科学 网络科学
- 信息传播 信息传播
背景情况:
- 了解在多重网络中传播的流行病需要整合信息扩散和个人行为.
- 现有的模型往往忽略了不同意识类型,异质感知和适应性行为之间的相互作用.
研究的目的:
- 为多重网络提出一种新的结合意识和流行病传播模式.
- 研究多元信息传播和个人行为对流行病动态的影响.
主要方法:
- 开发了一个包含三个意识类型 (主动,疏忽,全球诱导) 和异质感知率的模型.
- 集成了一个值触发的代积累机制,用于适应性行为强化.
- 采用微观马尔科夫链方法,从理论上确定流行病值 (βc).
主要成果:
- 发现全球信息传播在抑制流行病传播方面比行为代更有效.
- 全球信息触发值 (θ1) 诱导了βc的两阶段相位过渡,而行为值 (θ2) 导致了三阶段过渡.
- 积极的意识显著降低了感染风险;疏忽的意识显示了复杂的非线性效应.
结论:
- 该模型强调了全球信息和适应性行为在疫情控制中的关键作用.
- 异质的感知和意识动态显著调节疾病传播.
- 在公众意识较低的条件下,行为反应衰退至关重要.
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