RECURRENCE-BASED TIME SERIES ANALYSIS BY MEANS OF COMPLEX NETWORK METHODS

From MaRDI portal
Publication:2915477

DOI10.1142/S0218127411029021zbMath1247.37086arXiv1010.6032OpenAlexW2010821195WikidataQ63964890 ScholiaQ63964890MaRDI QIDQ2915477

Yong Zou, Reik V. Donner, Norbert Marwan, Jonathan F. Donges, Ruoxi Xiang, Michael Small, Juergen Kurths

Publication date: 18 September 2012

Published in: International Journal of Bifurcation and Chaos (Search for Journal in Brave)

Full work available at URL: https://arxiv.org/abs/1010.6032




Related Items

Hurst exponent estimation of self-affine time series using quantile graphsFrom time series to complex networks: the phase space coarse grainingIdentification of healthy and pathological heartbeat dynamics based on ECG-waveform using multifractal spectrumHOW TO AVOID POTENTIAL PITFALLS IN RECURRENCE PLOT BASED DATA ANALYSISDegree distributions and motif profiles of limited penetrable horizontal visibility graphsMultiscale ordinal network analysis of human cardiac dynamicsModeling chaotic systems: dynamical equations vs machine learning approachCan deep learning distinguish chaos from noise? Numerical experiments and general considerationsMultifractal analysis of visibility graph-based Ito-related connectivity time seriesDisentangling regular and chaotic motion in the standard map using complex network analysis of recurrences in phase spaceBrexit news propagation in financial systems: multidimensional visibility networks for market volatility dynamicsPhase coherence and attractor geometry of chaotic electrochemical oscillatorsExamining k-nearest neighbour networks: Superfamily phenomena and inversionPersistent topological features of dynamical systemsA novel method for forecasting time series based on fuzzy logic and visibility graphUnraveling chaotic attractors by complex networks and measurements of stock market complexityTime lagged ordinal partition networks for capturing dynamics of continuous dynamical systemsNonlinear time-series analysis revisitedComplex network approach to fractional time seriesUnified functional network and nonlinear time series analysis for complex systems science: ThepyunicornpackageComplex Networks Unveiling Spatial Patterns in TurbulenceMapping time series into signed networks via horizontal visibility graphCharacterization of chaotic attractors under noise: a recurrence network perspectiveRecurrence analysis of slow–fast systemsRecurrence Density Enhanced Complex Networks for Nonlinear Time Series AnalysisIdentify the characteristic in the evolution of the causality between the gold and dollarQuasiperiodic graphs: structural design, scaling and entropic propertiesComplex Network Time Series Analysis of a Macroeconomic ModelQuantifying information loss on chaotic attractors through recurrence networksFully developed turbulence in the view of horizontal visibility graphsNonlinear Correlation Analysis of Time Series Based on Complex Network SimilarityAreawise significance tests for windowed recurrence network analysisCritical Transition Analysis of the Deterministic Wind-Driven Ocean Circulation — A Flux-Based Network ApproachVisibility graph analysis for re-sampled time series from auto-regressive stochastic processesDetermining the coupling source on a set of oscillators from experimental dataAnalytical properties of horizontal visibility graphs in the Feigenbaum scenarioGeometric and dynamic perspectives on phase-coherent and noncoherent chaosFractal and complex network analyses of protein molecular dynamicsPhase space reconstruction for non-uniformly sampled noisy time seriesThe reliability of recurrence network analysis is influenced by the observability properties of the recorded time seriesMarkov-binary visibility graph: a new method for analyzing complex systemsVisibility graphs of fractional Wu–Baleanu time seriesHeterogeneous recurrence analysis of spatial dataReciprocal characterization from multivariate time series to multilayer complex networksCharacterizing system dynamics with a weighted and directed network constructed from time series dataThe application of complex network time series analysis in turbulent heated jetsAttractor comparisons based on densityVisibility-graphlet approach to the output series of a Hodgkin–Huxley neuronDETECTING SERIES PERIODICITY WITH HORIZONTAL VISIBILITY GRAPHSWeighted recurrence networks for the analysis of time-series dataOrder pattern recurrence for the analysis of complex systemsSynchronization and chimeras in a network of four ring-coupled thermoacoustic oscillatorsGeneralized Shannon-Fisher index: an effective method to quantify the instability of multivariate time seriesEffective instability quantification for multivariate complex time series using reverse Shannon-Fisher index


Uses Software


Cites Work