爆炸物
统计物理学
计量经济学
计算机科学
订单(交换)
复杂网络
复杂系统
情绪传染
物理
网络结构
2019年冠状病毒病(COVID-19)
作者
Federico Malizia,Andrés Guzmán,Iacopo Iacopini,István Z. Kiss
摘要
We introduce group-based compartmental modeling (GBCM), a mean-field framework for irreversible contagion in higher-order networks that captures structural heterogeneity and correlations across group sizes. Validated through numerical simulations, GBCM analytically disentangles the role of each interaction order to the global epidemic dynamics, revealing how heterogeneity and inter-order correlations jointly shape the onset of outbreaks and the emergence of explosive dynamics. Crucially, we show that inter-order correlations drive the system along distinct pathways to explosive contagion—emerging universally across both irreversible and reversible spreading processes.
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