基于节点重要性的复合免疫策略研究

Compounded Immune Strategy Based on Node Improtance

为有效抑制病毒在网络中扩散,提出一种基于节点度、介数和聚类系数的复合免疫策略,该算法综合计算三类特征量得出节点重要性并免疫重要性高的节点,在人工生成网络和真实农产品供应链网络上分别进行仿真实验,结果表明:实施该复合免疫后网络中感染节点密度值低于同等免疫比例下的度免疫、节点介数免疫和聚类系数免疫策略,具有更高的免疫效率。此外,该复合免疫算法中节点度占比大小会影响免疫效果,存在一个最优的度权值使免疫效果最优。

In order to effectively inhibit the spread of virus in the network,a compound immune strategy based on node degree,intermediate number and clustering coefficient is proposed.The algorithm comprehensively calculates three kinds of characteristic quantities to obtain the nodes with high node importance and immune importance.Simulation experiments are carried out on artificially generated network and real agricultural product supply chain network respectively,the results show that after compound immunization,the density of infected nodes in the network is lower than the degree immunization,node intermediate immunization and cluster coefficient immunization strategies under the same immunization proportion,which has higher immunization efficiency.In addition,the proportion of node degree in compound immune algorithm will affect the immune effect.There is an optimal degree weight to optimize the immune effect.