COVID-19 Infection Structure Analysis Based on Minimum Spanning Tree Visualization in the Kingdom of Saudi Arabia Regions-Reference-Cited by-同舟云学术

COVID-19 Infection Structure Analysis Based on Minimum Spanning Tree Visualization in the Kingdom of Saudi Arabia Regions

Published:2022-07-26 Issue: Volume:2022 Page:1-8
ISSN:2090-9071
Container-title:Journal of Chemistry
language:en
Short-container-title:Journal of Chemistry

Author:

Alsulami Samirah H.¹^ORCID,Bayati Jalal H.²

Affiliation:

1. Department of Mathematics, College of Science, University of Jeddah, Jeddah, Saudi Arabia

2. Department of Mathematics, College of Science of Women, University of Baghdad, Baghdad, Iraq

Abstract

This work aims to study the extent of the association between the numbers of COVID-19 infections among the regions of Saudi Arabia using a graph theory, especially the calculation of the minimum spanning tree. The research also aims mainly to classify the central regions of Saudi Arabia, whose number of COVID-19 virus infections is centrally linked to other provinces, i.e., when the number of infections in these central regions increases, the number of infections in the associated regions increases and when infections decrease in these central regions, infections decrease in the associated regions.

Funder

University of Jeddah

Publisher

Hindawi Limited

Subject

General Chemistry

Link

http://downloads.hindawi.com/journals/jchem/2022/1726286.pdf

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2. Degree stability of a minimum spanning tree of price return and volatility

3. EEG Feature Extraction Based on a Bilevel Network: Minimum Spanning Tree and Regional Network