自适应网络上的疾病传播

Epidemic Spreading on Adaptive Networks

疾病在网络中的传播取决于接触网络结构。个体可能通过调整其接触来应对疾病,以减少感染疾病的风险,从而改变网络结构,进而影响疾病的传播。本文提出一个具有人口迁移和重新布线的自适应网络上的SIS类型的疾病传播模型,并求解了传播阈值。结果表明,易感者和感染者之间的边断开的概率越大,传播阈值越大。

The spread of epidemics in a network depends on the structure of the contact network. Individuals may respond to epidemics by adjusting their exposures to reduce the risk of contracting epidemics, thereby altering the network structure and thus influencing the spread of epidemics. In this paper, we propose an epidemic propagation model of SIS type on an adaptive network with population migration and rewiring, and solve the propagation threshold. The results show that the greater the probability of edge disconnection between susceptible and infected people, the greater the epi-demic threshold.