Pages that link to "Item:Q3066176"
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The following pages link to Superfamily phenomena and motifs of networks induced from time series (Q3066176):
Displaying 50 items.
- Degree distributions of the visibility graphs mapped from fractional Brownian motions and multifractal random walks (Q407818) (← links)
- Complex network approach for recurrence analysis of time series (Q407946) (← links)
- A directed weighted complex network for characterizing chaotic dynamics from time series (Q420129) (← links)
- Emergence of fit-get-rich networks from chaotic attractors (Q420331) (← links)
- Markov-binary visibility graph: a new method for analyzing complex systems (Q726390) (← links)
- Characterizing pseudoperiodic time series through the complex network approach (Q1000710) (← links)
- Hurst exponent estimation of self-affine time series using quantile graphs (Q1619018) (← links)
- Functional brain networks in Alzheimer's disease: EEG analysis based on limited penetrable visibility graph and phase space method (Q1619739) (← links)
- From time series to complex networks: the phase space coarse graining (Q1619812) (← links)
- From the time series to the complex networks: the parametric natural visibility graph (Q1783098) (← links)
- Multiscale fluctuation features of the dynamic correlation between bivariate time series (Q1793209) (← links)
- Chaotic synchronization and anti-synchronization for a novel class of multiple chaotic systems via a sliding mode control scheme (Q1928913) (← links)
- Quasiperiodic graphs: structural design, scaling and entropic properties (Q1956212) (← links)
- Visibility graph analysis for re-sampled time series from auto-regressive stochastic processes (Q2004821) (← links)
- Recurrence quantity analysis based on singular value decomposition (Q2005136) (← links)
- Determining the coupling source on a set of oscillators from experimental data (Q2012874) (← links)
- Time-series and network analysis in quantum dynamics: comparison with classical dynamics (Q2024820) (← links)
- Multi-scale transition matrix approach to time series (Q2070240) (← links)
- Generalized Shannon-Fisher index: an effective method to quantify the instability of multivariate time series (Q2108640) (← links)
- Characterizing systems by multi-scale structural complexity (Q2111640) (← links)
- Effective instability quantification for multivariate complex time series using reverse Shannon-Fisher index (Q2113085) (← links)
- Degree distributions and motif profiles of limited penetrable horizontal visibility graphs (Q2153208) (← links)
- Modeling chaotic systems: dynamical equations vs machine learning approach (Q2160910) (← links)
- Visibility graph analysis of bitcoin price series (Q2164643) (← links)
- Characterization of chaotic attractors under noise: a recurrence network perspective (Q2200462) (← links)
- Tetradic motif profiles of horizontal visibility graphs (Q2207391) (← links)
- Recurrence plots for characterizing random dynamical systems (Q2213505) (← links)
- Quantifying information loss on chaotic attractors through recurrence networks (Q2232469) (← links)
- Vector visibility graph from multivariate time series: a new method for characterizing nonlinear dynamic behavior in two-phase flow (Q2297024) (← links)
- Geometric and dynamic perspectives on phase-coherent and noncoherent chaos (Q2787714) (← links)
- Self-organized topology of recurrence-based complex networks (Q2787891) (← links)
- Characterizing system dynamics with a weighted and directed network constructed from time series data (Q2821574) (← links)
- The application of complex network time series analysis in turbulent heated jets (Q2821580) (← links)
- Recurrence-based time series analysis by means of complex network methods (Q2915477) (← links)
- Recurrence networks: evolution and robustness (Q2915478) (← links)
- Recurrence networks—a novel paradigm for nonlinear time series analysis (Q2980789) (← links)
- Complex Network Time Series Analysis of a Macroeconomic Model (Q3298313) (← links)
- Multifractality and Laplace spectrum of horizontal visibility graphs constructed from fractional Brownian motions (Q3302562) (← links)
- Quantifying sudden changes in dynamical systems using symbolic networks (Q3387664) (← links)
- Multifractal analysis of visibility graph-based Ito-related connectivity time series (Q4563845) (← links)
- Disentangling regular and chaotic motion in the standard map using complex network analysis of recurrences in phase space (Q4563847) (← links)
- Unraveling chaotic attractors by complex networks and measurements of stock market complexity (Q4591579) (← links)
- Time lagged ordinal partition networks for capturing dynamics of continuous dynamical systems (Q4591661) (← links)
- Complex network approach to fractional time series (Q4591761) (← links)
- Unified functional network and nonlinear time series analysis for complex systems science: The<tt>pyunicorn</tt>package (Q4591787) (← links)
- Wavelet Multiresolution Complex Network for Analyzing Multivariate Nonlinear Time Series (Q4599782) (← links)
- COMPARISON OF DIFFERENT DAILY STREAMFLOW SERIES IN US AND CHINA, UNDER A VIEWPOINT OF COMPLEX NETWORKS (Q4929715) (← links)
- From standard alpha-stable Lévy motions to horizontal visibility networks: dependence of multifractal and Laplacian spectrum (Q4964602) (← links)
- Visibility-graphlet approach to the output series of a Hodgkin–Huxley neuron (Q4989089) (← links)
- Brexit news propagation in financial systems: multidimensional visibility networks for market volatility dynamics (Q5079388) (← links)