简化综合体对流行病在部分映射活动驱动的多重网络传播的影响
Shuofan Zhang1, Dawei Zhao2, Chengyi Xia3
1Tianjin Key Laboratory of Intelligence Computing and Novel Software Technology, Tianjin University of Technology, Tianjin 300384, China.
Chaos (Woodbury, N.Y.)
|June 12, 2023
概括
这项研究引入了一个新的网络模型,以了解信息和疾病如何一起传播. 研究结果表明,高阶相互作用和部分连接可以减少流行病的传播.
科学领域:
- 复杂的系统复杂的系统.
- 网络科学 网络科学
- 流行病学 流行病学
背景情况:
- 在多重网络上信息传播和流行病的结合是关键的研究领域.
- 配对相互作用不足以建模复杂的个人间动态.
- 高级网络表示对于准确的建模至关重要.
研究的目的:
- 调查简化复合体和层间映射对流行病传播的影响.
- 开发一个双层活动驱动的网络流行病模型,包括更高阶结构.
- 分析信息扩散和疾病传播在联网网络中的相互作用.
主要方法:
- 开发了一种新的双层活动驱动网络模型.
- 在虚拟信息层中嵌入了简化的复合体.
- 使用微观马尔科夫链 (MMC) 方法进行理论分析.
- 执行蒙特卡洛 (MC) 模拟以进行验证.
主要成果:
- 微观马尔科夫链 (MMC) 方法准确地预测了流行病爆发门.
- 虚拟层中的简化复合体可以抑制流行病的传播.
- 网络层之间的部分映射也显示出对传输的抑制作用.
- 该模型捕捉了信息和疾病传播的结合动态.
结论:
- 高阶相互作用和部分网络映射是控制流行病传播的重要因素.
- 开发的模型提供了关于流行病和疾病相关信息的结合行为的见解.
- 这项研究有助于理解社交网络中复杂的传染过程.
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