Artículo de Publicación Periódica:
Time series characterization via horizontal visibility graph and Information theory

dc.contributor.authorGonçalves, Bruna Amin
dc.contributor.authorCapri, Laura
dc.contributor.authorRosso, Osvaldo A.
dc.contributor.authorRavetti, Martín G.
dc.date.accessioned2023-01-26T17:41:49Z
dc.date.available2023-01-26T17:41:49Z
dc.date.issued2016
dc.description.abstract"Complex networks theory have gained wider applicability since methods for transformation of time series to networks were proposed and successfully tested. In the last few years, horizontal visibility graph has become a popular method due to its simplicity and good results when applied to natural and artificially generated data. In this work, we explore different ways of extracting information from the network constructed from the horizontal visibility graph and evaluated by Information Theory quantifiers. Most works use the degree distribution of the network, however, we found alternative probability distributions, more efficient than the degree distribution in characterizing dynamical systems. In particular, we find that, when using distributions based on distances and amplitude values, significant shorter time series are required. We analyze fractional Brownian motion time series, and a paleoclimatic proxy record of ENSO from the Pallcacocha Lake to study dynamical changes during the Holocene."
dc.identifier.issn0378-4371
dc.identifier.urihttps://ri.itba.edu.ar/handle/123456789/4158
dc.language.isoen
dc.relationinfo:eu-repo/semantics/reference/doi/10.1016/j.physa.2016.07.063
dc.subjectTEORIA DE LA INFORMACIONes
dc.titleTime series characterization via horizontal visibility graph and Information theory
dc.typeArtículo de Publicación Periódica
dspace.entity.typeArtículo de Publicación Periódica
itba.description.filiationFil: Gonçalves, Bruna Amin. Universidade Federal de Minas Gerais; Brasil.
itba.description.filiationFil: Capri, Laura. Universitat Politècnica de Catalunya; España.
itba.description.filiationFil: Rosso, Osvaldo A. Universidade Federal de Alagoas; Brasil.
itba.description.filiationFil: Rosso, Osvaldo A. Instituto Tecnológico de Buenos Aires; Argentina.
itba.description.filiationFil: Rosso, Osvaldo A. Universidad de los Andes; Chile.
itba.description.filiationFil: Rosso, Osvaldo A. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina.
itba.description.filiationFil: Ravetti, Martín G. Ravetti, Martín G.

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