聚类网络中SIR模型两种不同逼近方法比较

Comparison of Two Different Approximation Methods for SIR Models in Clustering Networks

本文基于对模型思想在聚类网络上建立了一个未封闭的SIR模型。为了封闭模型,我们采用两种含聚类网络上的逼近方式,包括均匀网络和异质网络,得到了两个不同的SIR封闭模型。基于这两种高维模型,无法理论分析,因此我们通过数值模拟来比较聚类网络不同逼近方法的精度和其合理性。

This paper builds an unclosed SIR model in the clustering network based on the pair model idea.In order to close the model,two approximation methods are used in the clustering network,including homogeneous network and heterogeneous network,and we obtain two different SIR closed models.Considering the difficulty of the theoretical analysis in the two high-dimensional models,numerical simulation are used to compare the accuracy and rationality of different approximation methods for clustering networks.