复杂网络中基于反应式的危险抑制方法

复杂网络中的危险传播行为依赖于网络拓扑结构和节点的动态特性.网络拓扑结构与危险传播的动力学机制是分离的,因此需要结合节点的动态信息来分析网络中的危险传播机理.本文针对该问题提出一种复杂网络中基于反应式的危险抑制方法,该方法主要针对节点当前的感染模式,采取相应的免疫策略进行防护.通过仿真实验表明,本文提出的免疫策略可以更加有效地抑制复杂网络中的危险传播.

An Risk Suppression Approach Based on Reaction in Complex Network

Risk propagation in the complex network depends on the topological structure of the network and the dynamic characteristics of the nodes. Since the topological structure is often separated from the dynamics mechanism of risk spreading, the dynamic information of the nodes should be used to analyze the propagation mechanism. In this paper, we propose a risk suppression approach based on the reaction mechanism for the complex network. This approach applies the appropriate strategy of vaccine immunization according to the current infection pattern of the node. Finally, the simulation experiment shows that the immunization strategy proposed in this paper is more effective when dealing with the risk spreading in the complex network.