自适应网络中针对疾病传播暂态的局部隔离策略

自适应网络中疾病传播的研究往往关注于稳态动力学特性及其控制,而最近的研究表明暂态动力学特性对于疾病的控制有着非常重要的作用.为了及时而有效地控制疾病爆发,本文提出了一种局部控制策略——熟人隔离策略.该策略能有效地控制疾病的传播,效果非常接近基于全局信息的最佳隔离策略.另外,我们通过分析不同隔离策略对各参数的敏感性来验证熟人隔离策略在控制效果方面的鲁棒性,并揭示了不同参数下隔离策略的控制效果对暂态过程中形成的社区结构的依赖性.

Local transient-based quarantine strategy in adaptive networks

Most studies on epidemic spreading in adaptive networks mainly focus on characteristics and controlling of steady state. Recently some researches indicate that transient dynamics is of significant importance in controlling the spread of epidemics. In order to prevent epidemic spreading timely and efficiently, we propose a local control strategy, i.e. acquaintance quarantine strategy. This strategy can efficiently control the epidemic spreading, and the control effect is very close to that of optimal quarantine strategy which is based on global information. Moreover, we check its robustness in controlling by analyzing the sensitivity of different strategies to basic parameters, and reveal the dependency of control effects with different parameters on the community structure emerging from transient process.