Artículo
Diffusive Metrics Induced by Random Affinities on Graphs. An Application to the Transport Systems Related to the COVID-19 Setting for Buenos Aires (AMBA)
Acosta, Maria Florencia
; Aimar, Hugo Alejandro
; Gomez, Ivana Daniela
; Morana, Federico Maximiliano
; Aimar, Hugo Alejandro
; Gomez, Ivana Daniela
; Morana, Federico Maximiliano
Fecha de publicación:
10/2022
Editorial:
Brazilian Society of Computational and Applied Mathematics
Revista:
Trends in Computational and Applied Mathematics
ISSN:
2676-0029
Idioma:
Inglés
Tipo de recurso:
Artículo publicado
Clasificación temática:
Resumen
The aim of this paper is to apply the diffusive metric technique defined by the spectral analysis of graph Laplacians to the set of the 41 cities belonging to AMBA, the largest urban concentration in Argentina, based on public transport and neighborhood. It could be expected that the propagation of any epidemic desease would follow the paths determined by those metrics. Our result reflects that the isolation measures decided by the health administration helped at the atenuation of the actual spread of COVID-19 in AMBA.
Palabras clave:
DIFFUSION
,
WEIGHTED GRAPHS
,
COVID-19
Archivos asociados
Tamaño:
3.703Mb
Formato:
PDF
Licencia
Excepto donde se diga explícitamente, este item se publica bajo la siguiente descripción:
Creative Commons Attribution-NonCommercial-ShareAlike 2.5 Unported (CC BY-NC-SA 2.5)
Identificadores
Colecciones
Articulos(IMAL)
Articulos de INST.DE MATEMATICA APLICADA "LITORAL"
Articulos de INST.DE MATEMATICA APLICADA "LITORAL"
Citación
Acosta, Maria Florencia; Aimar, Hugo Alejandro; Gomez, Ivana Daniela; Morana, Federico Maximiliano; Diffusive Metrics Induced by Random Affinities on Graphs. An Application to the Transport Systems Related to the COVID-19 Setting for Buenos Aires (AMBA); Brazilian Society of Computational and Applied Mathematics; Trends in Computational and Applied Mathematics; 23; 4; 10-2022; 783-799
Compartir
Altmétricas