Epidemic dynamics and endemic states in complex networks
Epidemic dynamics and endemic states in complex networks
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DOI：
10.1103/physreve.63.066117
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发表时间：
2001-06-01
影响因子：
2.4
通讯作者：
Vespignani, A
中科院分区：
文献类型：
--
作者：
Pastor-Satorras, R;Vespignani, A
本文通过分析方法和大规模模拟研究了复杂网络中流行病传播的动力学模型。在具有指数有界连通性的网络中，我们恢复了通常的流行行为，其中阈值定义了低于感染流行为零的临界点。相反，在广泛的无标度网络中，我们观察到没有流行阈值及其相关的临界行为。这意味着无标度网络易于传染病的传播和持续，无论传染病的传播速度如何。这些结果可以帮助理解。计算机病毒流行病以及通信和社交网络上的其他传播现象。
We study by analytical methods and large scale simulations a dynamical model for the spreading of epidemics in complex networks. in networks with exponentially bounded connectivity we recover the usual epidemic behavior with a threshold defining a critical point below that the infection prevalence is null. On the contrary, on a wide range of scale-free networks we observe the absence of an epidemic threshold and its associated critical behavior. This implies that scale-free networks are prone to the spreading and the persistence of infections whatever spreading rate the epidemic agents might possess. These results can help understanding. computer virus epidemics and other spreading phenomena on communication and social networks.