Visibility graph analysis for re-sampled time series from auto-regressive stochastic processes
type: Item
instance of: scholarly article
title: Visibility graph analysis for re-sampled time series from auto-regressive stochastic processes
zbMATH Open document ID: 1473.62323
author: Rong Zhang
author: Y. Zou
author: Jie Zhou
author: Zhong-Ke Gao
author: Shuguang Guan
published in: Communications in Nonlinear Science and Numerical Simulation
publication date: 2020-10-07T00:00:00Z
Mathematics Subject Classification ID: 62M10
zbMATH DE Number: 7257099
zbMATH Keywords: visibility graph
zbMATH Keywords: AR processes
zbMATH Keywords: nonlinear time series analysis
describes a project that uses: longmemo
describes a project that uses: plfit
MaRDI profile type: Publication
full work available at URL: j.cnsns.2016.04.031
OpenAlex ID: W2418612082
cites work: Superfamily phenomena and motifs of networks induced from time series
cites work: From time series to complex networks: The visibility graph
cites work: Complex network approach for recurrence analysis of time series
cites work: Recurrence networks—a novel paradigm for nonlinear time series analysis
cites work: Recurrence-based time series analysis by means of complex network methods
cites work: Phase coherence and attractor geometry of chaotic electrochemical oscillators
cites work: On the degree distribution of horizontal visibility graphs associated with Markov processes and dynamical systems: diagrammatic and variational approaches
cites work: Degree distributions of the visibility graphs mapped from fractional Brownian motions and multifractal random walks
cites work: Q4865042
cites work: Power-Law Distributions in Empirical Data
cites work: Collective dynamics of ‘small-world’ networks
cites work: The geometry of chaotic dynamics --- a complex network perspective
cites work: Nonlinear Time Series Analysis
cites work: Fractional Brownian Motions, Fractional Noises and Applications
DOI: 10.1016/J.CNSNS.2016.04.031
description: scientific article; zbMATH DE number 7257099