意识驱动网络动力学诱发的流行病悖论

Csegő Balázs Kolok, Gergely Ódor, Dániel Keliger, Márton Karsai
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引用次数: 0

摘要

我们研究了无标度网络中的静态流行过程,在这些网络中,只有易感节点、受感染节点或所有节点都采取了本地感知行为。我们发现,在易感-感知和全感知场景中,疫情规模与网络规模呈线性关系,而在感染-感知场景中,疫情规模与网络规模呈亚线性关系,这表明较少的感知节点可以更有效地减少疫情规模。我们通过数值和理论分析解释了这一悖论,并强调了有影响力节点的作用以及它们在流行病情景中提高意识的失配性。
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Epidemic paradox induced by awareness driven network dynamics
We study stationary epidemic processes in scale-free networks with local awareness behavior adopted by only susceptible, only infected, or all nodes. We find that while the epidemic size in the susceptible-aware and the all-aware scenarios scales linearly with the network size, the scaling becomes sublinear in the infected-aware scenario, suggesting that fewer aware nodes may reduce the epidemic size more effectively. We explain this paradox via numerical and theoretical analysis, and highlight the role of influential nodes and their disassortativity to raise awareness in epidemic scenarios.
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