Using symbolic networks to analyse dynamical properties of disease outbreaks

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Data

2020-04-29

Autores

Herrera-Diestra, Jose L. [UNESP]
Buldu, Javier M.
Chavez, Mario
Martinez, Johann H. [UNESP]

Título da Revista

ISSN da Revista

Título de Volume

Editor

Royal Soc

Resumo

We introduce a new methodology, which is based on the construction of epidemic networks, to analyse the evolution of epidemic time series. First, we translate the time series into ordinal patterns containing information about local fluctuations in disease prevalence. Each pattern is associated with a node of a network, whose (directed) connections arise from consecutive appearances in the series. The analysis of the network structure and the role of each pattern allows them to be classified according to the enhancement of entropy/complexity along the series, giving a different point of view about the evolution of a given disease.

Descrição

Palavras-chave

complex networks, ordinal patterns, entropy, time series, epidemics

Como citar

Proceedings Of The Royal Society A-mathematical Physical And Engineering Sciences. London: Royal Soc, v. 476, n. 2236, 18 p., 2020.