On the public citation graph

Reconstructing weighted networks from dynamics

https://doi.org/10.1103/physreve.91.030801

0 signed · 82 inferred · view as graph

Inferred edges come from two machine sources: sweeps of open repository metadata (mostly SSRN and Zenodo), and a bulk OpenAlex citation snapshot. Every row below is labelled with the one it came from. Neither is a complete citation index — absence here is not evidence of absence.

Is this your work? Sign in with ORCID and put your name on the claims that are yours.

Claim with ORCID

Reference health. See whether every reference in this work resolves to a known work and none has been retracted — and get a dated CiteStamped badge you can embed.

See reference health

What this work says

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

inferredcites →https://doi.org/10.1016/0375-9601(76)90101-8openalex-snapshot

An equation for continuous chaos

inferredcites →https://doi.org/10.1016/j.neuroimage.2010.08.063openalex-snapshot

Network modelling methods for FMRI

inferredcites →https://doi.org/10.1016/s0006-3495(61)86902-6openalex-snapshot

Impulses and Physiological States in Theoretical Models of Nerve Membrane

inferredcites →https://doi.org/10.1038/35065725openalex-snapshot

Exploring complex networks

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/nmeth.2016openalex-snapshot

Wisdom of crowds for robust gene network inference

inferredcites →https://doi.org/10.1038/nrm2503openalex-snapshot

Modelling and analysis of gene regulatory networks

inferredcites →https://doi.org/10.1038/nrmicro2419openalex-snapshot

Advantages and limitations of current network inference methods

inferredcites →https://doi.org/10.1038/nrn2575openalex-snapshot

Complex brain networks: graph theoretical analysis of structural and functional systems

inferredcites →https://doi.org/10.1073/pnas.092576199openalex-snapshot

Reverse engineering gene networks using singular value decomposition and robust regression

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/10.1089/106652700750050961openalex-snapshot

Using Bayesian Networks to Analyze Expression Data

inferredcites →https://doi.org/10.1103/physreve.70.056131openalex-snapshot

Analysis of weighted networks

inferredcites →https://doi.org/10.1103/physreve.77.026103openalex-snapshot

Reconstructing the topology of sparsely connected dynamical networks

inferredcites →https://doi.org/10.1103/physreve.87.042712openalex-snapshot

Suppression of cardiac alternans by alternating-period-feedback stimulations

inferredcites →https://doi.org/10.1103/physreve.88.042817openalex-snapshot

Extracting connectivity from dynamics of networks with uniform bidirectional coupling

inferredcites →https://doi.org/10.1103/physreve.89.029901openalex-snapshot

Erratum: Extracting connectivity from dynamics of networks with uniform bidirectional coupling [Phys. Rev. E88, 042817 (2013)]

inferredcites →https://doi.org/10.1103/physrevlett.100.238701openalex-snapshot

Identification of Functional Information Subgraphs in Complex Networks

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.107.034101openalex-snapshot

Network Reconstruction from Random Phase Resetting

inferredcites →https://doi.org/10.1103/physrevlett.86.5835openalex-snapshot

Weighted Evolving Networks

inferredcites →https://doi.org/10.1103/physrevlett.92.228701openalex-snapshot

Weighted Evolving Networks: Coupling Topology and Weight Dynamics

inferredcites →https://doi.org/10.1103/physrevlett.97.188701openalex-snapshot

Estimating Topology of Networks

inferredcites →https://doi.org/10.1103/physrevlett.98.224101openalex-snapshot

Revealing Network Connectivity from Response Dynamics

inferredcites →https://doi.org/10.1109/jproc.2006.887293openalex-snapshot

Consensus and Cooperation in Networked Multi-Agent Systems

inferredcites →https://doi.org/10.1126/science.1087447openalex-snapshot

A Gene-Coexpression Network for Global Discovery of Conserved Genetic Modules

inferredcites →https://doi.org/10.1126/science.286.5439.509openalex-snapshot

Emergence of Scaling in Random Networks

inferredcites →https://doi.org/10.1137/s003614450342480openalex-snapshot

The Structure and Function of Complex Networks

inferredcites →https://doi.org/10.1209/epl/i2006-10289-yopenalex-snapshot

Does dynamics reflect topology in directed networks?

inferredcites →https://doi.org/10.3389/fgene.2012.00008openalex-snapshot

Statistical Inference and Reverse Engineering of Gene Regulatory Networks from Observational Expression Data

What points at this work

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

inferred← backgroundhttps://doi.org/10.5281/zenodo.32183zenodo-depositor-declared

Extracting Connectivity of Bidirectional Networks from Dynamics

inferred← citeshttps://doi.org/10.1007/s11433-017-9024-9openalex-snapshot

Reconstruction of noise-driven nonlinear dynamic networks with some hidden nodes

inferred← citeshttps://doi.org/10.1007/s40747-022-00893-5openalex-snapshot

GAN-based deep learning framework of network reconstruction

inferred← citeshttps://doi.org/10.1007/s41109-019-0218-0openalex-snapshot

Inferring network properties based on the epidemic prevalence

inferred← citeshttps://doi.org/10.1016/b978-0-12-813677-5.00022-5openalex-snapshot

Active Sensing of Social Networks: Network Identification From Low-Rank Data

inferred← citeshttps://doi.org/10.1016/j.chaos.2024.114837openalex-snapshot

Inferring the connectivity of coupled oscillators from event timing analysis

inferred← citeshttps://doi.org/10.1016/j.cjph.2020.06.009openalex-snapshot

Network reconstruction from binary-state time series in presence of time delay and hidden nodes

inferred← citeshttps://doi.org/10.1016/j.cjph.2022.02.008openalex-snapshot

Optimized network properties in network growing models

inferred← citeshttps://doi.org/10.1016/j.physa.2018.01.011openalex-snapshot

Reconstruction of networks from one-step data by matching positions

inferred← citeshttps://doi.org/10.1016/j.physa.2018.02.166openalex-snapshot

Reconstructing networks from dynamics with correlated noise

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/10.1038/s41598-022-14397-2openalex-snapshot

Network structure from a characterization of interactions in complex systems

inferred← citeshttps://doi.org/10.1038/srep44639openalex-snapshot

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

inferred← citeshttps://doi.org/10.1063/1.4996524openalex-snapshot

Effect of the missing nodes in a bidirectional network

inferred← citeshttps://doi.org/10.1063/1.5120784openalex-snapshot

Model reconstruction from temporal data for coupled oscillator networks

inferred← citeshttps://doi.org/10.1063/5.0028411openalex-snapshot

Detecting interactions in discrete-time dynamics by random variable resetting

inferred← citeshttps://doi.org/10.1063/5.0134953openalex-snapshot

Detecting hidden nodes in networks based on random variable resetting method

inferred← citeshttps://doi.org/10.1088/1674-1056/ab9287openalex-snapshot

Patterns of cross-correlation in time series: A case study of gait trails*

inferred← citeshttps://doi.org/10.1088/1742-5468/abaeceopenalex-snapshot

Phase transitions in optimized network models

inferred← citeshttps://doi.org/10.1088/1751-8121/aa7925openalex-snapshot

Evolutionary optimization of network reconstruction from derivative-variable correlations

inferred← citeshttps://doi.org/10.1088/2632-2153/ad9194openalex-snapshot

Physics-inspired machine learning detects ‘unknown unknowns’ in networks: discovering network boundaries from observable dynamics

inferred← citeshttps://doi.org/10.1098/rspa.2019.0779openalex-snapshot

Deriving pairwise transfer entropy from network structure and motifs

inferred← citeshttps://doi.org/10.1103/physreve.100.012121openalex-snapshot

Reconstructing positive and negative couplings in Ising spin networks by sorted local transfer entropy

inferred← citeshttps://doi.org/10.1103/physreve.103.022317openalex-snapshot

Exploring node interaction relationship in complex networks by using high-frequency signal injection

inferred← citeshttps://doi.org/10.1103/physreve.103.062302openalex-snapshot

Effects of hidden nodes on noisy network dynamics

inferred← citeshttps://doi.org/10.1103/physreve.104.054313openalex-snapshot

Optimized two-dimensional networks with edge-crossing cost: Frustrated antiferromagnetic spin system

inferred← citeshttps://doi.org/10.1103/physreve.105.044406openalex-snapshot

Revealing directed effective connectivity of cortical neuronal networks from measurements

inferred← citeshttps://doi.org/10.1103/physreve.106.014302openalex-snapshot

Reconstructing distant interactions of multiple paths between perceptible nodes in dark networks

inferred← citeshttps://doi.org/10.1103/physreve.106.034302openalex-snapshot

Efficient reconstruction of directed networks from noisy dynamics using stochastic force inference

inferred← citeshttps://doi.org/10.1103/physreve.107.034312openalex-snapshot

Diverse phase transitions in optimized directed network models with distinct inward and outward node weights

inferred← citeshttps://doi.org/10.1103/physreve.111.044308openalex-snapshot

Degree distributions in optimized directed network models: Emergence of scale-free networks

inferred← citeshttps://doi.org/10.1103/physreve.95.010301openalex-snapshot

Reconstructing links in directed networks from noisy dynamics

inferred← citeshttps://doi.org/10.1103/physreve.95.022311openalex-snapshot

Reconstructing network topology and coupling strengths in directed networks of discrete-time dynamics

inferred← citeshttps://doi.org/10.1103/physreve.97.022301openalex-snapshot

Statistical inference approach to structural reconstruction of complex networks from binary time series

inferred← citeshttps://doi.org/10.1103/physreve.98.062318openalex-snapshot

Effects of hidden nodes on the reconstruction of bidirectional networks

inferred← citeshttps://doi.org/10.1103/physreve.99.012319openalex-snapshot

Inferring directed networks using a rank-based connectivity measure

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/10.1103/physrevlett.123.128301openalex-snapshot

Network Reconstruction and Community Detection from Dynamics

inferred← citeshttps://doi.org/10.1103/xt9k-bn1zopenalex-snapshot

Steady-state equilibrium and nonequilibrium noisy network dynamics

inferred← citeshttps://doi.org/10.1109/access.2022.3191665openalex-snapshot

Inferring Topology of Networks With Hidden Dynamic Variables

inferred← citeshttps://doi.org/10.1109/tcns.2019.2903907openalex-snapshot

Distributed Inference of the Multiplex Network Topology of Complex Systems

inferred← citeshttps://doi.org/10.1137/19m1254040openalex-snapshot

Data Based Reconstruction of Duplex Networks

inferred← citeshttps://doi.org/10.1140/epjb/e2016-60956-2openalex-snapshot

Global and partitioned reconstructions of undirected complex networks

inferred← citeshttps://doi.org/10.1186/s12868-020-0555-zopenalex-snapshot

Identifying the pulsed neuron networks’ structures by a nonlinear Granger causality method

inferred← citeshttps://doi.org/10.1209/0295-5075/113/18005openalex-snapshot

Depicting network structures from variable data produced by unknown colored-noise driven dynamics

inferred← citeshttps://doi.org/10.1209/0295-5075/ac30e6openalex-snapshot

Structure of cross-correlation between stock and oil markets

inferred← citeshttps://doi.org/10.1360/sspma2019-0127openalex-snapshot

From data to network structure——Reconstruction of dynamic networks

inferred← citeshttps://doi.org/10.15302/frontphys.2027.011301openalex-snapshot

Network reconstruction from noise-driving dynamic data in complex networks

inferred← citeshttps://doi.org/10.22541/au.166633041.18472649/v1openalex-snapshot

Average path length of a special class of hierarchical networks

inferred← citeshttps://doi.org/10.3390/math12132065openalex-snapshot

Estimating Cross-Border Mobility from the Difference in Peak Timing: A Case Study of Poland–Germany Border Regions

inferred← citeshttps://doi.org/10.48550/arxiv.1806.03405openalex-snapshot

Data based reconstruction of complex multiplex networks

Editorial review for independent work. ICSAC — the Institute for Complexity Science and Advanced Computing — runs a structured editorial panel for researchers publishing outside journals, and publishes on CiteStamp rails. Submission is free and goes through ORCID: icsacinstitute.org/submit.