基于多层交通网络度-度距离模型的新冠肺炎传播研究  

Degree-Degree Distance Based on the Perspective of Multi-Layer Traffic Network COVID-19 Transmission Research

作　　者：田锋 魏代俊 Tian Feng;Wei Daijun(School of Mathematics and Statistics,Hubei Minzu University,Enshi 445000,China)

机构地区：[1]湖北民族大学数学与统计学院,湖北恩施445000

出　　处：《南京师大学报（自然科学版）》2022年第2期91-97,共7页Journal of Nanjing Normal University(Natural Science Edition)

基　　金：国家自然科学基金项目(61763009).

摘　　要：本文将单层网络度-度距离模型推广到多层网络,建立多层交通网络度-度距离模型,并基于该模型对湖北省内17个地级市(州)的新冠疫情传播进行研究分析.主要贡献和结论为:(1)发现新冠疫情的传播在不同交通方式中存在较大差异;(2)按照多层网络度-度距离模型划分城市群聚类分析的结果与按确诊人数聚类结果的一致性很高.In this paper,the degree-degree distance model of single-layer network was extended to multi-layer network of that and the degree-degree distance model of multi-layer traffic network was established.Based on this model,the transmission of COVID-19 in 17 prefecture-level cities(prefectures)in Hubei Province was analyzed.The main contributions and conclusions are as follows:(1)It was found that the transmission of COVID-19 was significantly different among different ways of transportation.(2)The results of urban cluster analysis based on the hierarchical network degree-degree distance model are in high agreement with the results of cluster analysis based on the number of confirmed patients.

关 键 词：新冠肺炎 度-度距离 多层交通网络 分层聚类 

分 类 号：O213[理学—概率论与数理统计]