标题： 社区结构对自适应网络中流行病传播的影响 显示英文标题

标题： Effects of community structure on epidemic spread in an adaptive network

摘要： 当流行病在人群中传播时，个体可能会适应性地改变其社会接触网络的结构，以降低感染风险。 这里我们研究具有社区结构的自适应网络上的流行病传播。 我们模拟了两个平均度不同的社区的影响。 疾病模型是易感-感染-易感（SIS）模型，适应性是易感者和感染者之间链接的重新连接。 获得了分岔结构，并开发了一个平均场模型，该模型能够准确预测系统的稳态行为。 我们表明，流行病可以改变社区结构。 显示英文摘要

摘要： When an epidemic spreads in a population, individuals may adaptively change the structure of their social contact network to reduce risk of infection. Here we study the spread of an epidemic on an adaptive network with community structure. We model the effect of two communities with different average degrees. The disease model is susceptible-infected-susceptible (SIS), and adaptation is rewiring of links between susceptibles and infectives. The bifurcation structure is obtained, and a mean field model is developed that accurately predicts the steady state behavior of the system. We show that an epidemic can alter the community structure.