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多层网络中的流行传播动态:探测信息爆发和接收游戏的影响
Jianbo Wang1, Haoxing He1, Ping Li1
1School of Computer Science and Software Engineering, Southwest Petroleum University, Chengdu 610500, China.
Chaos (Woodbury, N.Y.)
|March 6, 2025
概括
信息传播抑制了流行病,但接收成本加速了它们. 网络结构,特别是虚拟层,影响流行病规模. 这些发现有助于流行病控制战略.
科学领域:
- 网络科学 网络科学
- 流行病学 流行病学
- 计算社会科学 计算社会科学
背景情况:
- 流行病和信息在多层网络中传播的共同演变尚未得到研究.
- 信息传播在流行病期间表现出复杂的爆发和接待游戏行为.
研究的目的:
- 在多层网络中建模和分析信息和流行病传播之间的相互作用.
- 调查信息爆发和接收游戏行为对流行病动态的影响.
主要方法:
- 开发了一种包含信息爆发和接收游戏的多层网络模型.
- 利用微观马尔科夫链方法进行动态分析.
- 通过蒙特卡洛模拟验证结果.
主要成果:
- 发现信息爆发可以抑制流行病的传播.
- 信息接收成本的增加被证明可以促进流行病的传播.
- 顺利的信息传播进一步抑制了流行病的传播.
- 网络异质性,特别是在虚拟层,减少了整体流行病感染规模.
结论:
- 信息和流行病的传播是密切相关的,并在多层网络中共同发展.
- 了解信息接收游戏对于有效的流行病控制至关重要.
- 网络结构显著影响流行病的动态,突出显示了虚拟层的重要性.
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