Mapping time series into signed networks via horizontal visibility graph

DOI10.1016/j.physa.2023.129404MaRDI QIDQ6140193

No author found.

Publication date: 19 January 2024

Published in: Physica A (Search for Journal in Brave)

zbMATH Keywords

entropyserial correlationdegree distributionhorizontal visibilitysigned network

Mathematics Subject Classification ID

Statistical mechanics, structure of matter (82-XX)

Cites Work

• Visibility graph analysis for re-sampled time series from auto-regressive stochastic processes
• Revisiting fractional Gaussian noise
• Visibility graph analysis of bitcoin price series
• Could network analysis of horizontal visibility graphs be faithfully used to infer long-term memory properties in real-world time series?
• ON SPECTRAL SIMULATION OF FRACTIONAL BROWNIAN MOTION
• DETECTING SERIES PERIODICITY WITH HORIZONTAL VISIBILITY GRAPHS
• RECURRENCE-BASED TIME SERIES ANALYSIS BY MEANS OF COMPLEX NETWORK METHODS
• From time series to complex networks: The visibility graph
• Power-Law Distributions in Empirical Data
• Algorithm AS 154: An Algorithm for Exact Maximum Likelihood Estimation of Autoregressive-Moving Average Models by Means of Kalman Filtering
• Complex network approach to fractional time series
• Projecting signed two-mode networks
• Nonlinear correlations in multifractals: Visibility graphs of magnitude and sign series
• Horizontal Visibility graphs generated by type-II intermittency
• Fractional Brownian Motions, Fractional Noises and Applications
• Unnamed Item

This page was built for publication: Mapping time series into signed networks via horizontal visibility graph