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Reconstruction of noise-driven nonlinear networks from node outputs by using high-order correlations

https://doi.org/10.1038/srep44639
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What this work says

Outgoing claims: the papers this work cites, builds on, or argues with.

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Stable signal recovery from incomplete and inaccurate measurements
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Chemical Oscillations, Waves, and Turbulence
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Data based identification and prediction of nonlinear and complex dynamical systems
inferredcites →https://doi.org/10.1038/nature04701openalex-snapshot
Weak pairwise correlations imply strongly correlated network states in a neural population
inferredcites →https://doi.org/10.1038/ncomms3418openalex-snapshot
In vivo cardiac phase response curve elucidates human respiratory heart rate variability
inferredcites →https://doi.org/10.1038/ncomms9133openalex-snapshot
Automated adaptive inference of phenomenological dynamical models
inferredcites →https://doi.org/10.1038/nrg1272openalex-snapshot
Network biology: understanding the cell's functional organization
inferredcites →https://doi.org/10.1038/srep05030openalex-snapshot
Untangling complex dynamical systems via derivative-variable correlations
inferredcites →https://doi.org/10.1073/pnas.040411297openalex-snapshot
Noise-based switches and amplifiers for gene expression
inferredcites →https://doi.org/10.1073/pnas.0900282106openalex-snapshot
Inferring friendship network structure by using mobile phone data
inferredcites →https://doi.org/10.1073/pnas.220392197openalex-snapshot
Discovering functional relationships between RNA expression and chemotherapeutic susceptibility using relevance networks
inferredcites →https://doi.org/10.1088/1367-2630/13/1/013004openalex-snapshot
Inferring network topology from complex dynamics
inferredcites →https://doi.org/10.1088/1751-8113/47/34/343001openalex-snapshot
Revealing networks from dynamics: an introduction
inferredcites →https://doi.org/10.1103/physreva.35.1838openalex-snapshot
Steady-state analysis of strongly colored multiplicative noise in a dye laser
inferredcites →https://doi.org/10.1103/physreve.66.046109openalex-snapshot
Evolutionary reconstruction of networks
inferredcites →https://doi.org/10.1103/physreve.72.026202openalex-snapshot
Reconstruction of stochastic nonlinear dynamical models from trajectory measurements
inferredcites →https://doi.org/10.1103/physreve.80.016116openalex-snapshot
Scaling of noisy fluctuations in complex networks and applications to network prediction
inferredcites →https://doi.org/10.1103/physreve.84.046201openalex-snapshot
Reconstruction of two-dimensional phase dynamics from experiments on coupled oscillators
inferredcites →https://doi.org/10.1103/physreve.85.065201openalex-snapshot
Detecting hidden nodes in complex networks from time series
inferredcites →https://doi.org/10.1103/physreve.86.046106openalex-snapshot
Inferring topologies of complex networks with hidden variables
inferredcites →https://doi.org/10.1103/physreve.91.012814openalex-snapshot
Solving the inverse problem of noise-driven dynamic networks
inferredcites →https://doi.org/10.1103/physreve.91.030801openalex-snapshot
Reconstructing weighted networks from dynamics
inferredcites →https://doi.org/10.1103/physreve.95.010301openalex-snapshot
Reconstructing links in directed networks from noisy dynamics
inferredcites →https://doi.org/10.1103/physrevlett.104.058701openalex-snapshot
Noise Bridges Dynamical Correlation and Topology in Coupled Oscillator Networks
inferredcites →https://doi.org/10.1103/physrevlett.106.154101openalex-snapshot
Predicting Catastrophes in Nonlinear Dynamical Systems by Compressive Sensing
inferredcites →https://doi.org/10.1103/physrevlett.107.034101openalex-snapshot
Network Reconstruction from Random Phase Resetting
inferredcites →https://doi.org/10.1103/physrevlett.109.024101openalex-snapshot
Inference of Time-Evolving Coupled Dynamical Systems in the Presence of Noise
inferredcites →https://doi.org/10.1103/physrevlett.71.1542openalex-snapshot
Effects of External Noise on the Swift-Hohenberg Equation
inferredcites →https://doi.org/10.1103/physrevlett.94.098101openalex-snapshot
Inference of a Nonlinear Stochastic Model of the Cardiorespiratory Interaction
inferredcites →https://doi.org/10.1103/physrevlett.97.188701openalex-snapshot
Estimating Topology of Networks
inferredcites →https://doi.org/10.1103/revmodphys.74.47openalex-snapshot
Statistical mechanics of complex networks
inferredcites →https://doi.org/10.1109/tit.2005.862083openalex-snapshot
Robust uncertainty principles: exact signal reconstruction from highly incomplete frequency information
inferredcites →https://doi.org/10.1137/s003614450342480openalex-snapshot
The Structure and Function of Complex Networks
inferredcites →https://doi.org/10.1140/epjb/e2013-30986-5openalex-snapshot
Derivative-variable correlation reveals the structure of dynamical networks
inferredcites →https://doi.org/10.1175/1520-0442(1992)005<0798:vilswb>2.0.co;2openalex-snapshot
Variability in Large-Scale Water Balance with Land Surface-Atmosphere Interaction
inferredcites →https://doi.org/10.1175/1520-0469(1963)020<0130:dnf>2.0.co;2openalex-snapshot
Deterministic Nonperiodic Flow
inferredcites →https://doi.org/10.1209/0295-5075/113/18005openalex-snapshot
Depicting network structures from variable data produced by unknown colored-noise driven dynamics
inferredcites →https://doi.org/10.1257/aer.97.2.99openalex-snapshot
Financial Networks
inferredcites →https://doi.org/10.1257/aer.97.5.1921openalex-snapshot
Consistency and Heterogeneity of Individual Behavior under Uncertainty
inferredcites →https://doi.org/10.2307/2290746openalex-snapshot
Introduction to Linear Regression Analysis.

What points at this work

Incoming claims: where this work appears in other papers’ reference lists and arguments.

inferred← citeshttps://doi.org/10.1007/s11071-022-07388-5openalex-snapshot
Reconstruction of nonlinear flows from noisy time series
inferred← citeshttps://doi.org/10.1016/j.cnsns.2019.01.010openalex-snapshot
Reconstructing nonlinear networks subject to fast-varying noises by using linearization with expanded variables
inferred← citeshttps://doi.org/10.1016/j.physleta.2017.05.043openalex-snapshot
Inference of targeted interactions of networks with data of driving and driven nodes only by applying fast-varying noise signals
inferred← citeshttps://doi.org/10.1016/j.physleta.2017.10.033openalex-snapshot
A dynamical approach to identify vertices' centrality in complex networks
inferred← citeshttps://doi.org/10.1063/1.5088657openalex-snapshot
Discovering the topology of complex networks via adaptive estimators
inferred← citeshttps://doi.org/10.1063/1.5127052openalex-snapshot
Detecting network structures from measurable data produced by dynamics with hidden variables
inferred← citeshttps://doi.org/10.1063/5.0134953openalex-snapshot
Detecting hidden nodes in networks based on random variable resetting method
inferred← citeshttps://doi.org/10.1080/00207721.2022.2135416openalex-snapshot
A real-time identification method of network structure in complex network systems
inferred← citeshttps://doi.org/10.1088/1367-2630/acd46dopenalex-snapshot
Reconstructing dynamics of complex systems from noisy time series with hidden variables
inferred← citeshttps://doi.org/10.1088/1674-1056/27/3/030503openalex-snapshot
Reconstruction of dynamic structures of experimental setups based on measurable experimental data only
inferred← citeshttps://doi.org/10.1088/1674-1056/ac1e12openalex-snapshot
Inferring interactions of time-delayed dynamic networks by random state variable resetting
inferred← citeshttps://doi.org/10.1103/physreve.99.042311openalex-snapshot
Reconstruction of dynamic networks with time-delayed interactions in the presence of fast-varying noises
inferred← citeshttps://doi.org/10.1109/tcns.2019.2903907openalex-snapshot
Distributed Inference of the Multiplex Network Topology of Complex Systems
inferred← citeshttps://doi.org/10.1209/0295-5075/124/18002openalex-snapshot
Detecting directed interactions of networks by random variable resetting
inferred← citeshttps://doi.org/10.1360/sspma2019-0127openalex-snapshot
From data to network structure——Reconstruction of dynamic networks
inferred← citeshttps://doi.org/10.1371/journal.pone.0263939openalex-snapshot
The reconstruction on the game networks with binary-state and multi-state dynamics
inferred← citeshttps://doi.org/10.15302/frontphys.2027.011301openalex-snapshot
Network reconstruction from noise-driving dynamic data in complex networks
inferred← citeshttps://doi.org/10.1587/nolta.13.477openalex-snapshot
Network structure identification via Koopman analysis and sparse identification
inferred← citeshttps://doi.org/10.3390/math11010089openalex-snapshot
Network Structure Identification Based on Measured Output Data Using Koopman Operators
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