社区结构对流行病在时间变化的多重网络传播的影响
Meiling Feng1, Shuofan Zhang1, Chengyi Xia2
1School of Computer Science and Engineering, Tianjin University of Technology, Tianjin 300384, China.
Chaos (Woodbury, N.Y.)
|July 12, 2024
概括
社区结构影响了信息和疾病在网络中传播的方式. 增加的流动性延迟了传播,而更高的接触率加快了传播,社区间信息接受抑制了流行病.
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:
- 在现实的网络中,社区结构至关重要,它会影响集体动态.
- 了解社区属性如何影响信息传播和流行病传播至关重要.
研究的目的:
- 调查社区结构在在线社交网络中的作用,以及信息传播和流行病传播的相关动态.
- 为在线社交和离线流行病网络开发和分析一个新的结合模型,具有不同的时间尺度.
主要方法:
- 微观马尔科夫链 (MMC) 方法来导出流行病值的分析方程.
- 蒙特卡洛模拟用于验证MMC方法并探索网络动态.
主要成果:
- 增加个人流动的可能性延迟了与流行病相关的信息传播和感染的高峰时间.
- 移动个体的增强接触能力促进了流行病的传播.
- 更多的个人接受来自不同社区的信息减少了整体感染密度,抑制了疾病的传播.
结论:
- 社区结构在关联的线上线下网络中显著调节了流行病的动态.
- 流动性,接触能力和社区间信息接受是影响疾病传播的关键因素.
- 这些发现为在社会和流行病学背景下设计有针对性的干预提供了洞察力.
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