Wei Xiang, Chen Shihua, Wu Xiaoqun, Ning Di, Lu Jun-An
School of Mathematics and Statistics, Wuhan University, Wuhan, Hubei 430072, China.
School of Mathematics and Statistics, South-Central University for Nationalities, Wuhan 430074, China.
Chaos. 2016 Jun;26(6):065311. doi: 10.1063/1.4952964.
This study is concerned with the dynamic behaviors of epidemic spreading in multiplex networks. A model composed of two interacting complex networks is proposed to describe cooperative spreading processes, wherein the virus spreading in one layer can penetrate into the other to promote the spreading process. The global epidemic threshold of the model is smaller than the epidemic thresholds of the corresponding isolated networks. Thus, global epidemic onset arises in the interacting networks even though an epidemic onset does not arise in each isolated network. Simulations verify the analysis results and indicate that cooperative spreading processes in multiplex networks enhance the final infection fraction.
本研究关注多重网络中流行病传播的动态行为。提出了一个由两个相互作用的复杂网络组成的模型来描述协同传播过程，其中在一层中传播的病毒可以渗透到另一层以促进传播过程。该模型的全局流行病阈值小于相应孤立网络的流行病阈值。因此，即使在每个孤立网络中都没有出现流行病爆发，在相互作用的网络中也会出现全局流行病爆发。模拟验证了分析结果，并表明多重网络中的协同传播过程提高了最终感染比例。
