Inference of time-varying networks through transfer entropy, the case of a Boolean network model

DOI10.1063/1.5047429zbMath1400.90082OpenAlexW2899091710WikidataQ58589989 ScholiaQ58589989MaRDI QIDQ4556547

Maurizio Porfiri, Manuel Ruiz Marin

Publication date: 16 November 2018

Published in: Chaos: An Interdisciplinary Journal of Nonlinear Science (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1063/1.5047429

Mathematics Subject Classification ID

Stochastic network models in operations research (90B15)

Related Items (6)

Reconstructing regime-dependent causal relationships from observational time series ⋮ Shortcomings of Transfer Entropy and Partial Transfer Entropy: Extending Them to Escape the Curse of Dimensionality ⋮ Application of symbolic recurrence to experimental data, from firearm prevalence to fish swimming ⋮ Improving on transfer entropy-based network reconstruction using time-delays: Approach and validation ⋮ Transfer entropy on symbolic recurrences ⋮ Topological features determining the error in the inference of networks using transfer entropy

Cites Work

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• Cyclostationarity: half a century of research
• Temporal network epidemiology
• Identification of Directed Influence: Granger Causality, Kullback-Leibler Divergence, and Complexity
• An Introduction to Transfer Entropy
• Understanding Policy Diffusion in the U.S.: An Information-Theoretical Approach to Unveil Connectivity Structures in Slowly Evolving Complex Systems
• Statistics of transitions for Markov chains with periodic forcing
• Matrix Analysis

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