scholarly journals Analytic degree distributions of horizontal visibility graphs mapped from unrelated random series and multifractal binomial measures

2017 ◽  
Vol 119 (4) ◽  
pp. 48008 ◽  
Author(s):  
Wen-Jie Xie ◽  
Rui-Qi Han ◽  
Zhi-Qiang Jiang ◽  
Lijian Wei ◽  
Wei-Xing Zhou
2012 ◽  
Vol 22 (07) ◽  
pp. 1250160 ◽  
Author(s):  
ANGEL NUÑEZ ◽  
LUCAS LACASA ◽  
EUSEBIO VALERO ◽  
JOSE PATRICIO GÓMEZ ◽  
BARTOLO LUQUE

The horizontal visibility algorithm was recently introduced as a mapping between time series and networks. The challenge lies in characterizing the structure of time series (and the processes that generated those series) using the powerful tools of graph theory. Recent works have shown that the visibility graphs inherit several degrees of correlations from their associated series, and therefore such graph theoretical characterization is in principle possible. However, both the mathematical grounding of this promising theory and its applications are in its infancy. Following this line, here we address the question of detecting hidden periodicity in series polluted with a certain amount of noise. We first put forward some generic properties of horizontal visibility graphs which allow us to define a (graph theoretical) noise reduction filter. Accordingly, we evaluate its performance for the task of calculating the period of noisy periodic signals, and compare our results with standard time domain (autocorrelation) methods. Finally, potentials, limitations and applications are discussed.


2013 ◽  
Vol 47 (3) ◽  
pp. 035102 ◽  
Author(s):  
Ángel M Núñez ◽  
Lucas Lacasa ◽  
Jose Patricio Gómez

2016 ◽  
Vol 444 ◽  
pp. 1003-1011 ◽  
Author(s):  
A.C. Braga ◽  
L.G.A. Alves ◽  
L.S. Costa ◽  
A.A. Ribeiro ◽  
M.M.A. de Jesus ◽  
...  

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