在复杂的传染中,桥梁协同和简化互动
Zixiang Yan1, Jian Gao1, Yueheng Lan1
1School of Science, Beijing University of Posts and Telecommunications, Beijing 100876, China.
Chaos (Woodbury, N.Y.)
|March 8, 2024
概括
这项研究弥合了网络科学中的协同和简化传染模型. 我们展示了它们在模拟复杂传染中的一致性,提高了对网络相互作用的理解.
科学领域:
- 网络科学 网络科学
- 复杂的系统复杂的系统.
- 传染模式的建模.
背景情况:
- 复杂的传染模型在网络科学中至关重要.
- 协同和简化传染模型提供了不同的方法.
- 这些模型之间的关系仍然不清楚.
研究的目的:
- 为了比较协同传染与简单传染的三角相互作用.
- 通过分析和经验来研究协同作用和高阶相互作用之间的联系.
- 增强对网络系统中复杂传染的理解.
主要方法:
- 通过联合度分布连接三角相互作用和协同作用的分析推导.
- 蒙特卡洛模拟用于比较分析.
- 在合成和现实世界的网络上进行测试.
主要成果:
- 在三角相互作用和协同之间建立了分析桥梁.
- 模拟显示了简化和协同传染过程之间的一致性.
- 通过经验数据验证分析结果.
结论:
- 协同作用和高阶相互作用在复杂的传染中是密切相关的.
- 联合学位分布是理解这种关系的关键.
- 这项研究为复杂的传染模型提供了一个统一的视角.
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