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Time series analysis via network science: Concepts and algorithms
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inferredcites →https://doi.org/10.1002/9781119502951openalex-snapshot
Multivariate Time Series Analysis and Applications
inferredcites →https://doi.org/10.1002/jae.2676openalex-snapshot
NETS: Network estimation for time series
inferredcites →https://doi.org/10.1007/978-3-319-07155-8_4openalex-snapshot
Complex Network Analysis of Recurrences
inferredcites →https://doi.org/10.1007/978-3-319-52452-8openalex-snapshot
Time Series Analysis and Its Applications
inferredcites →https://doi.org/10.1007/978-3-642-02469-6_84openalex-snapshot
Transforming Time Series into Complex Networks
inferredcites →https://doi.org/10.1007/bfb0091924openalex-snapshot
Detecting strange attractors in turbulence
inferredcites →https://doi.org/10.1007/s00702-010-0450-3openalex-snapshot
New diagnostic EEG markers of the Alzheimer’s disease using visibility graph
inferredcites →https://doi.org/10.1007/s11063-018-9936-zopenalex-snapshot
Application of Quantile Graphs to the Automated Analysis of EEG Signals
inferredcites →https://doi.org/10.1007/s11071-019-05439-yopenalex-snapshot
Sequential limited penetrable visibility-graph motifs
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Complex network theory-based condition recognition of electromechanical system in process industry
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Cross and joint ordinal partition transition networks for multivariate time series analysis
inferredcites →https://doi.org/10.1007/s11571-014-9297-xopenalex-snapshot
WLPVG approach to the analysis of EEG-based functional brain network under manual acupuncture
inferredcites →https://doi.org/10.1007/s11634-017-0300-3openalex-snapshot
A novel method for forecasting time series based on fuzzy logic and visibility graph
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An equation for continuous chaos
inferredcites →https://doi.org/10.1016/j.chaos.2018.07.039openalex-snapshot
A novel visibility graph transformation of time series into weighted networks
inferredcites →https://doi.org/10.1016/j.cnsns.2016.04.031openalex-snapshot
Visibility graph analysis for re-sampled time series from auto-regressive stochastic processes
inferredcites →https://doi.org/10.1016/j.cnsns.2019.01.012openalex-snapshot
Tetradic motif profiles of horizontal visibility graphs
inferredcites →https://doi.org/10.1016/j.eij.2015.08.002openalex-snapshot
Analyzing negative ties in social networks: A survey
inferredcites →https://doi.org/10.1016/j.ijforecast.2016.09.004openalex-snapshot
Visualising forecasting algorithm performance using time series instance spaces
inferredcites →https://doi.org/10.1016/j.jebo.2010.01.004openalex-snapshot
Correlation, hierarchies, and networks in financial markets
inferredcites →https://doi.org/10.1016/j.jeconom.2014.04.012openalex-snapshot
On the network topology of variance decompositions: Measuring the connectedness of financial firms
inferredcites →https://doi.org/10.1016/j.physa.2007.10.055openalex-snapshot
Complex network-based time series analysis
inferredcites →https://doi.org/10.1016/j.physa.2009.07.016openalex-snapshot
Visibility graph approach to exchange rate series
inferredcites →https://doi.org/10.1016/j.physa.2010.02.043openalex-snapshot
Statistical properties of visibility graph of energy dissipation rates in three-dimensional fully developed turbulence
inferredcites →https://doi.org/10.1016/j.physa.2011.02.031openalex-snapshot
A characterization of horizontal visibility graphs and combinatorics on words
inferredcites →https://doi.org/10.1016/j.physa.2013.03.063openalex-snapshot
Visibility graph network analysis of gold price time series
inferredcites →https://doi.org/10.1016/j.physa.2014.05.058openalex-snapshot
Time series analysis of the developed financial markets’ integration using visibility graphs
inferredcites →https://doi.org/10.1016/j.physa.2014.07.002openalex-snapshot
From the time series to the complex networks: The parametric natural visibility graph
inferredcites →https://doi.org/10.1016/j.physa.2015.03.057openalex-snapshot
Volatility behavior of visibility graph EMD financial time series from Ising interacting system
inferredcites →https://doi.org/10.1016/j.physa.2015.09.094openalex-snapshot
Hurst exponent estimation of self-affine time series using quantile graphs
inferredcites →https://doi.org/10.1016/j.physa.2016.03.086openalex-snapshot
Visibility graph analysis of very short-term heart rate variability during sleep
inferredcites →https://doi.org/10.1016/j.physa.2016.05.012openalex-snapshot
Functional brain networks in Alzheimer’s disease: EEG analysis based on limited penetrable visibility graph and phase space method
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From time series to complex networks: The phase space coarse graining
inferredcites →https://doi.org/10.1016/j.physa.2017.10.052openalex-snapshot
Forecasting Construction Cost Index based on visibility graph: A network approach
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Degree distributions and motif profiles of limited penetrable horizontal visibility graphs
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Multivariate recurrence plots
inferredcites →https://doi.org/10.1016/j.physleta.2009.09.042openalex-snapshot
Complex network approach for recurrence analysis of time series
inferredcites →https://doi.org/10.1016/j.physleta.2012.10.008openalex-snapshot
Geometric detection of coupling directions by means of inter-system recurrence networks
inferredcites →https://doi.org/10.1016/j.physleta.2016.06.038openalex-snapshot
Can recurrence networks show small-world property?
inferredcites →https://doi.org/10.1016/j.physleta.2020.126781openalex-snapshot
Pattern interdependent network of cross-correlation in multivariate time series
inferredcites →https://doi.org/10.1016/j.physrep.2006.11.001openalex-snapshot
Recurrence plots for the analysis of complex systems
inferredcites →https://doi.org/10.1016/j.physrep.2014.07.001openalex-snapshot
The structure and dynamics of multilayer networks
inferredcites →https://doi.org/10.1016/j.physrep.2018.10.005openalex-snapshot
Complex network approaches to nonlinear time series analysis
inferredcites →https://doi.org/10.1016/j.tourman.2015.10.008openalex-snapshot
Mapping time series into networks as a tool to assess the complex dynamics of tourism systems
inferredcites →https://doi.org/10.1016/j.ymssp.2017.11.020openalex-snapshot
Predicting catastrophes of non-autonomous networks with visibility graphs and horizontal visibility
inferredcites →https://doi.org/10.1016/s0165-1765(97)00214-0openalex-snapshot
Generalized impulse response analysis in linear multivariate models
inferredcites →https://doi.org/10.1016/s0375-9601(02)01170-2openalex-snapshot
Nonlinear analysis of bivariate data with cross recurrence plots
inferredcites →https://doi.org/10.1016/s0375-9601(98)00457-5openalex-snapshot
Detecting deterministic signals in exceptionally noisy environments using cross-recurrence quantification
inferredcites →https://doi.org/10.1017/cbo9780511543340openalex-snapshot
Visibility Algorithms in the Plane
inferredcites →https://doi.org/10.1029/2009gl039129openalex-snapshot
Visibility network of United States hurricanes
inferredcites →https://doi.org/10.1037/met0000167openalex-snapshot
A tutorial on regularized partial correlation networks.
inferredcites →https://doi.org/10.1038/30918openalex-snapshot
Collective dynamics of ‘small-world’ networks
inferredcites →https://doi.org/10.1038/d41586-018-05444-yopenalex-snapshot
Twenty years of network science
inferredcites →https://doi.org/10.1038/ncomms9502openalex-snapshot
Identifying causal gateways and mediators in complex spatio-temporal systems
inferredcites →https://doi.org/10.1038/nrn2575openalex-snapshot
Complex brain networks: graph theoretical analysis of structural and functional systems
inferredcites →https://doi.org/10.1038/s41467-019-10105-3openalex-snapshot
Inferring causation from time series in Earth system sciences
inferredcites →https://doi.org/10.1038/s41598-017-08245-xopenalex-snapshot
Constructing ordinal partition transition networks from multivariate time series
inferredcites →https://doi.org/10.1038/s41598-018-23388-1openalex-snapshot
Exact results of the limited penetrable horizontal visibility graph associated to random time series and its application
inferredcites →https://doi.org/10.1038/srep00835openalex-snapshot
Comparing the performance of FA, DFA and DMA using different synthetic long-range correlated time series
inferredcites →https://doi.org/10.1038/srep15508openalex-snapshot
Network structure of multivariate time series
inferredcites →https://doi.org/10.1038/srep35622openalex-snapshot
Multiscale limited penetrable horizontal visibility graph for analyzing nonlinear time series
inferredcites →https://doi.org/10.1038/srep41951openalex-snapshot
Memory and betweenness preference in temporal networks induced from time series
inferredcites →https://doi.org/10.1038/srep44037openalex-snapshot
Multiplex visibility graphs to investigate recurrent neural network dynamics
inferredcites →https://doi.org/10.1063/1.3227736openalex-snapshot
Complex network from time series based on phase space reconstruction
inferredcites →https://doi.org/10.1063/1.3308505openalex-snapshot
Network analysis of human heartbeat dynamics
inferredcites →https://doi.org/10.1063/1.3673789openalex-snapshot
Multiscale characterization of recurrence-based phase space networks constructed from time series
inferredcites →https://doi.org/10.1063/1.4875040openalex-snapshot
The application of complex network time series analysis in turbulent heated jets
inferredcites →https://doi.org/10.1063/1.4917289openalex-snapshot
Nonlinear time-series analysis revisited
inferredcites →https://doi.org/10.1063/1.4919075openalex-snapshot
Time lagged ordinal partition networks for capturing dynamics of continuous dynamical systems
inferredcites →https://doi.org/10.1063/1.4927835openalex-snapshot
Fast transformation from time series to visibility graphs
inferredcites →https://doi.org/10.1063/1.4941371openalex-snapshot
Coarse-graining time series data: Recurrence plot of recurrence plots and its application for music
inferredcites →https://doi.org/10.1063/1.4951681openalex-snapshot
Visibility graphlet approach to chaotic time series
inferredcites →https://doi.org/10.1063/1.4954271openalex-snapshot
Multivariate weighted recurrence network inference for uncovering oil-water transitional flow behavior in a vertical pipe
inferredcites →https://doi.org/10.1063/1.4959537openalex-snapshot
Using ordinal partition transition networks to analyze ECG data
inferredcites →https://doi.org/10.1063/1.4968551openalex-snapshot
Counting forbidden patterns in irregularly sampled time series. I. The effects of under-sampling, random depletion, and timing jitter
inferredcites →https://doi.org/10.1063/1.4970483openalex-snapshot
Counting forbidden patterns in irregularly sampled time series. II. Reliability in the presence of highly irregular sampling
inferredcites →https://doi.org/10.1063/1.5086527openalex-snapshot
Ordinal partition transition network based complexity measures for inferring coupling direction and delay from time series
inferredcites →https://doi.org/10.1063/1.5108606openalex-snapshot
Characterization of SSMVEP-based EEG signals using multiplex limited penetrable horizontal visibility graph
inferredcites →https://doi.org/10.1063/1.5112799openalex-snapshot
Reciprocal characterization from multivariate time series to multilayer complex networks
inferredcites →https://doi.org/10.1063/1.5120538openalex-snapshot
A recurrence network-based convolutional neural network for fatigue driving detection from EEG
inferredcites →https://doi.org/10.1073/pnas.0709247105openalex-snapshot
From time series to complex networks: The visibility graph
inferredcites →https://doi.org/10.1073/pnas.0806082105openalex-snapshot
Superfamily phenomena and motifs of networks induced from time series
inferredcites →https://doi.org/10.1080/00018730601170527openalex-snapshot
Characterization of complex networks: A survey of measurements
inferredcites →https://doi.org/10.1080/00018732.2011.572452openalex-snapshot
Analyzing and modeling real-world phenomena with complex networks: a survey of applications
inferredcites →https://doi.org/10.1080/00207179208934253openalex-snapshot
The general problem of the stability of motion
inferredcites →https://doi.org/10.1088/1367-2630/12/3/033025openalex-snapshot
Recurrence networks—a novel paradigm for nonlinear time series analysis
inferredcites →https://doi.org/10.1088/1742-5468/2009/07/p07046openalex-snapshot
Mapping stochastic processes onto complex networks
inferredcites →https://doi.org/10.1088/1742-5468/2015/03/p03017openalex-snapshot
Influence network in the Chinese stock market
inferredcites →https://doi.org/10.1088/1751-8113/43/33/335002openalex-snapshot
Universal and nonuniversal allometric scaling behaviors in the visibility graphs of world stock market indices
inferredcites →https://doi.org/10.1088/1751-8113/43/49/495005openalex-snapshot
Superfamily classification of nonstationary time series based on DFA scaling exponents
inferredcites →https://doi.org/10.1088/1751-8121/ab587fopenalex-snapshot
On the spectral properties of Feigenbaum graphs
inferredcites →https://doi.org/10.1093/acprof:oso/9780199206650.001.0001openalex-snapshot
Networks: An Introduction
inferredcites →https://doi.org/10.1098/rspa.2018.0256openalex-snapshot
Weighted recurrence networks for the analysis of time-series data
inferredcites →https://doi.org/10.1098/rsta.2016.0292openalex-snapshot
Multiscale ordinal network analysis of human cardiac dynamics
inferredcites →https://doi.org/10.1103/physreve.100.042304openalex-snapshot
Characterizing stochastic time series with ordinal networks
inferredcites →https://doi.org/10.1103/physreve.70.046217openalex-snapshot
Detecting dynamical changes in time series using the permutation entropy
inferredcites →https://doi.org/10.1103/physreve.73.016216openalex-snapshot
Detecting chaos in pseudoperiodic time series without embedding
inferredcites →https://doi.org/10.1103/physreve.75.021115openalex-snapshot
Characterization of Gaussian self-similar stochastic processes using wavelet-based informational tools
inferredcites →https://doi.org/10.1103/physreve.80.046103openalex-snapshot
Horizontal visibility graphs: Exact results for random time series
inferredcites →https://doi.org/10.1103/physreve.82.036120openalex-snapshot
Description of stochastic and chaotic series using visibility graphs
inferredcites →https://doi.org/10.1103/physreve.85.046105openalex-snapshot
Analytical framework for recurrence network analysis of time series
inferredcites →https://doi.org/10.1103/physreve.88.032910openalex-snapshot
Multivariate recurrence network analysis for characterizing horizontal oil-water two-phase flow
inferredcites →https://doi.org/10.1103/physreve.91.022927openalex-snapshot
Dynamics of intracranial electroencephalographic recordings from epilepsy patients using univariate and bivariate recurrence networks
inferredcites →https://doi.org/10.1103/physreve.93.032323openalex-snapshot
Constructing networks from a dynamical system perspective for multivariate nonlinear time series
inferredcites →https://doi.org/10.1103/physreve.93.042309openalex-snapshot
Sequential visibility-graph motifs
inferredcites →https://doi.org/10.1103/physreve.94.052309openalex-snapshot
Sequential motif profile of natural visibility graphs
inferredcites →https://doi.org/10.1103/physreve.97.012312openalex-snapshot
Multiplex recurrence networks
inferredcites →https://doi.org/10.1103/physrevlett.94.018102openalex-snapshot
Scale-Free Brain Functional Networks
inferredcites →https://doi.org/10.1103/physrevlett.96.238701openalex-snapshot
Complex Network from Pseudoperiodic Time Series: Topology versus Dynamics
inferredcites →https://doi.org/10.1103/physrevresearch.2.023069openalex-snapshot
Online visibility graphs: Encoding visibility in a binary search tree
inferredcites →https://doi.org/10.1103/revmodphys.74.47openalex-snapshot
Statistical mechanics of complex networks
inferredcites →https://doi.org/10.1109/access.2016.2612242openalex-snapshot
Weighted Visibility Graph With Complex Network Features in the Detection of Epilepsy
inferredcites →https://doi.org/10.1109/icarm.2019.8833661openalex-snapshot
A Novel EEG Sleep Staging Method for Wearable Devices Based on Amplitude-time Mapping
inferredcites →https://doi.org/10.1109/icocs.2015.7483302openalex-snapshot
Quantile graphs for the characterization of chaotic dynamics in time series
inferredcites →https://doi.org/10.1109/iscas.2013.6572389openalex-snapshot
Complex networks from time series: Capturing dynamics
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Analysis and Classification of Sleep Stages Based on Difference Visibility Graphs From a Single-Channel EEG Signal
inferredcites →https://doi.org/10.1111/ectj.12047openalex-snapshot
Generalized dynamic factor models and volatilities: recovering the market volatility shocks
inferredcites →https://doi.org/10.1111/obes.12125openalex-snapshot
Generalized Forecast Error Variance Decomposition for Linear and Nonlinear Multivariate Models
inferredcites →https://doi.org/10.1111/rssc.12177openalex-snapshot
A Network Analysis of the Volatility of High Dimensional Financial Series
inferredcites →https://doi.org/10.1126/sciadv.aau4996openalex-snapshot
Detecting and quantifying causal associations in large nonlinear time series datasets
inferredcites →https://doi.org/10.1126/science.1089167openalex-snapshot
Superfamilies of Evolved and Designed Networks
inferredcites →https://doi.org/10.1126/science.286.5439.509openalex-snapshot
Emergence of Scaling in Random Networks
inferredcites →https://doi.org/10.1126/science.298.5594.824openalex-snapshot
Network Motifs: Simple Building Blocks of Complex Networks
inferredcites →https://doi.org/10.1137/s003614450342480openalex-snapshot
The Structure and Function of Complex Networks
inferredcites →https://doi.org/10.1140/epjb/e2004-00129-6openalex-snapshot
Networks of equities in financial markets
inferredcites →https://doi.org/10.1140/epjb/e2011-10795-8openalex-snapshot
Investigating the topology of interacting networks
inferredcites →https://doi.org/10.1140/epjb/e2011-10899-1openalex-snapshot
The geometry of chaotic dynamics — a complex network perspective
inferredcites →https://doi.org/10.1140/epjb/e2012-20809-8openalex-snapshot
Time series irreversibility: a visibility graph approach
inferredcites →https://doi.org/10.1140/epjst/e2008-00829-1openalex-snapshot
A historical review of recurrence plots
inferredcites →https://doi.org/10.1142/s0129183110015208openalex-snapshot
HIERARCHICAL ORGANIZATION AND DISASSORTATIVE MIXING OF CORRELATION-BASED WEIGHTED FINANCIAL NETWORKS
inferredcites →https://doi.org/10.1142/s0218127411028891openalex-snapshot
RECURRENCE NETWORKS: EVOLUTION AND ROBUSTNESS
inferredcites →https://doi.org/10.1142/s0218127411029021openalex-snapshot
RECURRENCE-BASED TIME SERIES ANALYSIS BY MEANS OF COMPLEX NETWORK METHODS
inferredcites →https://doi.org/10.1142/s021812741250160xopenalex-snapshot
DETECTING SERIES PERIODICITY WITH HORIZONTAL VISIBILITY GRAPHS
inferredcites →https://doi.org/10.1155/2017/4394571openalex-snapshot
Nonlinear Reduced-Order Observer-Based Predictive Control for Diving of an Autonomous Underwater Vehicle
inferredcites →https://doi.org/10.1162/netn_a_00012openalex-snapshot
Visibility graphs for fMRI data: Multiplex temporal graphs and their modulations across resting-state networks
inferredcites →https://doi.org/10.1175/1520-0469(1963)020<0130:dnf>2.0.co;2openalex-snapshot
Deterministic Nonperiodic Flow
inferredcites →https://doi.org/10.1175/jcli-d-13-00159.1openalex-snapshot
Quantifying the Strength and Delay of Climatic Interactions: The Ambiguities of Cross Correlation and a Novel Measure Based on Graphical Models
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Using Causal Effect Networks to Analyze Different Arctic Drivers of Midlatitude Winter Circulation
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Testing time series irreversibility using complex network methods
inferredcites →https://doi.org/10.1209/0295-5075/102/30007openalex-snapshot
Geometric signature of complex synchronisation scenarios
inferredcites →https://doi.org/10.1209/0295-5075/4/9/004openalex-snapshot
Recurrence Plots of Dynamical Systems
inferredcites →https://doi.org/10.1209/0295-5075/79/50001openalex-snapshot
True and false forbidden patterns in deterministic and random dynamics
inferredcites →https://doi.org/10.1209/0295-5075/86/30001openalex-snapshot
The visibility graph: A new method for estimating the Hurst exponent of fractional Brownian motion
inferredcites →https://doi.org/10.1209/0295-5075/97/50002openalex-snapshot
Analysis of seismic sequences by using the method of visibility graph
inferredcites →https://doi.org/10.1209/0295-5075/98/48001openalex-snapshot
Power-laws in recurrence networks from dynamical systems
inferredcites →https://doi.org/10.1214/009053606000000281openalex-snapshot
High-dimensional graphs and variable selection with the Lasso
inferredcites →https://doi.org/10.1371/journal.pone.0023378openalex-snapshot
Duality between Time Series and Networks
inferredcites →https://doi.org/10.1371/journal.pone.0108004openalex-snapshot
Distinguishing Noise from Chaos: Objective versus Subjective Criteria Using Horizontal Visibility Graph
inferredcites →https://doi.org/10.1371/journal.pone.0143015openalex-snapshot
Visibility Graph Based Time Series Analysis
inferredcites →https://doi.org/10.1371/journal.pone.0231169openalex-snapshot
Quantile graphs for EEG-based diagnosis of Alzheimer’s disease
inferredcites →https://doi.org/10.1515/phys-2017-0028openalex-snapshot
Construction of complex networks from time series based on the cross correlation interval
inferredcites →https://doi.org/10.1587/nolta.4.160openalex-snapshot
Change-point detection with recurrence networks
inferredcites →https://doi.org/10.2478/s11600-012-0032-xopenalex-snapshot
Visibility graph analysis of geophysical time series: Potentials and possible pitfalls
inferredcites →https://doi.org/10.34626/m92y-j269openalex-snapshot
Time Series Analysis based on Complex Networks
inferredcites →https://doi.org/10.3998/mpub.14623openalex-snapshot
Chaos Theory in the Social Sciences
inferredcites →https://doi.org/10.48550/arxiv.1610.07273openalex-snapshot
Encoding Temporal Markov Dynamics in Graph for Visualizing and Mining Time Series
inferredcites →https://doi.org/10.5194/npg-18-545-2011openalex-snapshot
Identification of dynamical transitions in marine palaeoclimate records by recurrence network analysis
inferredcites →https://doi.org/10.5194/npg-19-559-2012openalex-snapshot
Review article "On the origins of decadal climate variability: a network perspective"
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Extracting Statistical Graph Features for Accurate and Efficient Time Series Classification
inferredcites →https://doi.org/10.7498/aps.61.030506openalex-snapshot
Limited penetrable visibility graph for establishing complex network from time series
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Incoming claims: where this work appears in other papers’ reference lists and arguments.
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Enhancing Predictions of Surface Water Quality Through the Integration of Deep Learning and Time Series Analysis Techniques
inferred← citeshttps://doi.org/10.1007/s41109-024-00642-2openalex-snapshot
From time series to networks in R with the ts2net package
inferred← citeshttps://doi.org/10.1016/j.physa.2023.128448openalex-snapshot
Visibility graph analysis of web server log files
inferred← citeshttps://doi.org/10.1038/s41598-024-52989-2openalex-snapshot
Speech emotion recognition via graph-based representations
inferred← citeshttps://doi.org/10.1063/5.0226986openalex-snapshot
Mesoscale eddy in situ observation and characterization via underwater glider and complex network theory
inferred← citeshttps://doi.org/10.1080/00036846.2022.2108540openalex-snapshot
Effects of Covid-19 on the BIST 100 network structure
inferred← citeshttps://doi.org/10.1080/2573234x.2025.2607576openalex-snapshot
Graph neural network solutions for interpretable anomaly detection in IT infrastructure monitoring time series
inferred← citeshttps://doi.org/10.1088/1674-1056/adb26aopenalex-snapshot
Associated network family of the unified piecewise linear chaotic family and their relevance
inferred← citeshttps://doi.org/10.1088/1742-6596/2473/1/012017openalex-snapshot
Wind Power Output Fluctuation Analysis Using Improved Motifs Method
inferred← citeshttps://doi.org/10.1103/p6qp-2s9fopenalex-snapshot
Assessing imbalance in signed brain networks
inferred← citeshttps://doi.org/10.1109/access.2025.3554097openalex-snapshot
Time Series Classification Using Federated Convolutional Neural Networks and Image-Based Representations
inferred← citeshttps://doi.org/10.1109/bigdata52589.2021.9671517openalex-snapshot
A Scalable Linear-Time Algorithm for Horizontal Visibility Graph Construction Over Long Sequences
inferred← citeshttps://doi.org/10.1109/dsp65409.2025.11075189openalex-snapshot
SAX-Based GNN Embeddings for Time Series
inferred← citeshttps://doi.org/10.1109/icnc68183.2026.11416862openalex-snapshot
QG Synthetic Time Series Generation: An Adapted Quantile Graph Method
inferred← citeshttps://doi.org/10.1109/jbhi.2024.3405491openalex-snapshot
EDA-Graph: Graph Signal Processing of Electrodermal Activity for Emotional States Detection
inferred← citeshttps://doi.org/10.1109/pesgm52003.2023.10252741openalex-snapshot
Revealing the Complexity of Load Fluctuations for Electricity Consumers Using MLP-HVG
inferred← citeshttps://doi.org/10.1109/scw63240.2024.00103openalex-snapshot
Predicting Compute Node Unavailability in HPC: A Graph-Based Machine Learning Approach
inferred← citeshttps://doi.org/10.1109/secon55815.2022.9918588openalex-snapshot
HPFL-CN: Communication-Efficient Hierarchical Personalized Federated Edge Learning via Complex Network Feature Clustering
inferred← citeshttps://doi.org/10.1109/tits.2024.3396627openalex-snapshot
Characteristics of Air Traffic Flow in Terminal Airspace: A Multiplex Recurrence Network Analysis
inferred← citeshttps://doi.org/10.1109/tmc.2024.3449129openalex-snapshot
Exploiting Complex Network-Based Clustering for Personalization-Enhanced Hierarchical Federated Edge Learning
inferred← citeshttps://doi.org/10.1142/s0219477523400047openalex-snapshot
Key Points-in-Time Identification of Gold Futures Market: A Complex Network Approach
inferred← citeshttps://doi.org/10.1145/3724979.3725051openalex-snapshot
Stress recognition based on the Markov Transition Field of Electrodermal Activity
inferred← citeshttps://doi.org/10.1186/s12874-022-01544-6openalex-snapshot
Individual-specific networks for prediction modelling – A scoping review of methods
inferred← citeshttps://doi.org/10.12720/jait.15.11.1273-1282openalex-snapshot
Comparison of Models for Predicting the Number of Calls Received in a Call Center through Time Series Analysis
inferred← citeshttps://doi.org/10.2196/76210openalex-snapshot
Dynamic Interactions Among Sleep Duration, Cognitive Function, and Depressive Symptoms in Middle-Aged and Older Chinese Adults: Temporal Network Analysis From CHARLS
inferred← citeshttps://doi.org/10.3390/agronomy14050941openalex-snapshot
Rapeseed Seed Coat Color Classification Based on the Visibility Graph Algorithm and Hyperspectral Technique
inferred← citeshttps://doi.org/10.3390/appliedmath4040071openalex-snapshot
Investigating System Dynamics of Vegetable Prices Using Complex Network Analysis and Temporal Variation Methods
inferred← citeshttps://doi.org/10.3390/e24010021openalex-snapshot
Evolving Network Analysis of S&P500 Components: COVID-19 Influence of Cross-Correlation Network Structure
inferred← citeshttps://doi.org/10.3390/e24121752openalex-snapshot
Distinguish between Stochastic and Chaotic Signals by a Local Structure-Based Entropy
inferred← citeshttps://doi.org/10.3390/e25071079openalex-snapshot
Unveiling the Connectivity of Complex Networks Using Ordinal Transition Methods
inferred← citeshttps://doi.org/10.3390/e26040341openalex-snapshot
Distinction of Chaos from Randomness Is Not Possible from the Degree Distribution of the Visibility and Phase Space Reconstruction Graphs
inferred← citeshttps://doi.org/10.3390/math12020204openalex-snapshot
Research on Correlation Analysis for Multidimensional Time Series Based on the Evolution Synchronization of Network Topology
inferred← citeshttps://doi.org/10.3847/1538-4357/ae4342openalex-snapshot
Graph-based Summary Statistics for Revealing the Stochastic Gravitational-wave Background in Pulsar Timing Arrays
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