|Table of Contents|

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

《南京师大学报（自然科学版）》[ISSN:1001-4616/CN:32-1239/N]

Issue:
2022年02期
Page:
91-97
Research Field:
·计算机科学与技术·
Publishing date:

Info

Title:
Degree-Degree Distance Based on the Perspective of Multi-Layer Traffic Network COVID-19 Transmission Research
Author(s):
Tian Feng; Wei Daijun
(School of Mathematics and Statistics,Hubei Minzu University,Enshi 445000,China)
Keywords:
COVID-19; degree-degree distance; multi-layer traffic network; hierarchical clustering
PACS:
O213
DOI:
10.3969/j.issn.1001-4616.2022.02.011
Abstract:
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.

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