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Data Based Reconstruction of Duplex Networks

https://doi.org/10.1137/19m1254040
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What this work says

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

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Bayesian Estimation of Dynamical Systems: An Application to fMRI
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Data based identification and prediction of nonlinear and complex dynamical systems
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Reconstruction of stochastic temporal networks through diffusive arrival times
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Reconstructing propagation networks with natural diversity and identifying hidden sources
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The physics of spreading processes in multilayer networks
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Beta oscillations in a large-scale sensorimotor cortical network: Directional influences revealed by Granger causality
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Automated reverse engineering of nonlinear dynamical systems
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Inferring network topology from complex dynamics
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Multilayer networks
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Reconstructing the topology of sparsely connected dynamical networks
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Detecting hidden nodes in complex networks from time series
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Extracting connectivity from dynamics of networks with uniform bidirectional coupling
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Real-time tracking of neuronal network structure using data assimilation
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Reconstructing weighted networks from dynamics
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Universal data-based method for reconstructing complex networks with binary-state dynamics
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Reconstructing complex networks without time series
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Sparse dynamical Boltzmann machine for reconstructing complex networks with binary dynamics
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Noise Bridges Dynamical Correlation and Topology in Coupled Oscillator Networks
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Network Reconstruction from Random Phase Resetting
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Inner Composition Alignment for Inferring Directed Networks from Short Time Series
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Causal and Structural Connectivity of Pulse-Coupled Nonlinear Networks
inferredcites →https://doi.org/10.1103/physrevlett.111.128701openalex-snapshot
Dynamical Interplay between Awareness and Epidemic Spreading in Multiplex Networks
inferredcites →https://doi.org/10.1103/physrevlett.94.018102openalex-snapshot
Scale-Free Brain Functional Networks
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Estimating Topology of Networks
inferredcites →https://doi.org/10.1103/physrevlett.98.224101openalex-snapshot
Revealing Network Connectivity from Response Dynamics
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Sensing the "Health State" of a Community
inferredcites →https://doi.org/10.1109/tcsi.2018.2808233openalex-snapshot
Robust Reconstruction of Continuously Time-Varying Topologies of Weighted Networks
inferredcites →https://doi.org/10.1109/tcsi.2018.2886770openalex-snapshot
Reconstructing of Networks With Binary-State Dynamics via Generalized Statistical Inference
inferredcites →https://doi.org/10.1109/tcyb.2017.2655511openalex-snapshot
Compressive-Sensing-Based Structure Identification for Multilayer Networks
inferredcites →https://doi.org/10.1126/science.1081900openalex-snapshot
Inferring Genetic Networks and Identifying Compound Mode of Action via Expression Profiling
inferredcites →https://doi.org/10.1126/science.286.5439.509openalex-snapshot
Emergence of Scaling in Random Networks
inferredcites →https://doi.org/10.1137/140956166openalex-snapshot
Causal Network Inference by Optimal Causation Entropy
inferredcites →https://doi.org/10.1137/17m1134202openalex-snapshot
Cooperative Epidemic Spreading on a Two-Layered Interconnected Network
inferredcites →https://doi.org/10.1209/0295-5075/87/48007openalex-snapshot
The backbone of the climate network
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Time-series–based prediction of complex oscillator networks via compressive sensing
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Efficient Network Reconstruction from Dynamical Cascades Identifies Small-World Topology of Neuronal Avalanches
inferredcites →https://doi.org/10.1371/journal.pcbi.1002653openalex-snapshot
Model-Free Reconstruction of Excitatory Neuronal Connectivity from Calcium Imaging Signals
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Identifying Chaotic FitzHugh–Nagumo Neurons Using Compressive Sensing

What points at this work

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

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Reconstruction of 3-simplex based on Bayesian inference
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Basic reproduction number for the SIR epidemic in degree correlated networks
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Expectation-maximizing network reconstruction and most applicable network types based on binary time series data
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Effects of destination selection strategy on information spreading
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Full reconstruction of simplicial complexes from binary contagion and Ising data
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Network reconstruction of social networks based on the public information
inferred← citeshttps://doi.org/10.1063/5.0106943openalex-snapshot
Identifying partial topology of simplicial complexes
inferred← citeshttps://doi.org/10.1063/5.0170914openalex-snapshot
Identifying the switching topology of dynamical networks based on adaptive synchronization
inferred← citeshttps://doi.org/10.1063/5.0210741openalex-snapshot
Stepwise reconstruction of higher-order networks from dynamics
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A mean-field approximation-based linearization framework for network reconstruction from binary time series
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Symmetry prior based reconstruction of higher-order networks from time-series data
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Shortest path of temporal networks: An information spreading-based approach*
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Identify information sources with different start times in complex networks based on sparse observers
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General optimization framework for accurate and efficient reconstruction of symmetric complex networks from dynamical data
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Inferring structure and dynamics of multiplex networks from single-type observations
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Full-Order Reconstruction of Simplicial Complex Network from Binary Time Series
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SOIDP: Predicting Interlayer Links in Multiplex Networks
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Evolutionary Multitasking Multilayer Network Reconstruction
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SMPC-Ranking: A Privacy-Preserving Method on Identifying Influential Nodes in Multiple Private Networks
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Reconstruction and Layer Division of Unknown Multilayer Networks
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Reconstructing Network Structures Using Gaussian Mixture Model: From Unsigned to Signed Networks
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Interplay of epidemic spreading and strategy-mixed awareness diffusion on multiplex networks
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Information diffusion structure on social networks with general degree distribution
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Information spreading on metapopulation networks with heterogeneous contacting
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V–E Algorithm: A New Vital Vertex Identifying Algorithm Based on Vertex–Edge Interaction
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Reconstructing networks via discrete state dynamical data: A mini-review
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Network reconstruction based on node centrality sorting and alternating direction method of multipliers
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Multilayer nonlinear dynamical network reconstruction from streaming data
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The reconstruction on the game networks with binary-state and multi-state dynamics
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Two-stage reconstruction of hypergraphs with unknown orders from binary dynamical data
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Complex system reconstruction
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Discrete data based local-to-global network reconstruction algorithm
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Gaussian mixture model based reconstruction of undirected networks
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Multiplex network reconstruction from cross-layer aggregated states based on a Gaussian mixture model
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