Using symbolic networks to analyse dynamical properties of disease outbreaks
DOI10.1098/rspa.2019.0777zbMath1472.62152arXiv1911.05646OpenAlexW2983663710WikidataQ94601126 ScholiaQ94601126MaRDI QIDQ5160908
José Luis Herrera-Diestra, M. Chavez, J. H. Martínez, Javier M. Buldú
Publication date: 29 October 2021
Published in: Proceedings of the Royal Society A: Mathematical, Physical and Engineering Sciences (Search for Journal in Brave)
Full work available at URL: https://arxiv.org/abs/1911.05646
Time series, auto-correlation, regression, etc. in statistics (GARCH) (62M10) Epidemiology (92D30) Applications of statistics to biology and medical sciences; meta analysis (62P10) Small world graphs, complex networks (graph-theoretic aspects) (05C82)
Related Items (1)
Cites Work
- Unnamed Item
- Unnamed Item
- Permutation entropy and its main biomedical and econophysics applications: a review
- Monitoring multivariate time series
- Permutation complexity in dynamical systems. Ordinal patterns, permutation entropy and all that
- Symbolic dynamics. One-sided, two-sided and countable state Markov shifts
- Ordinal symbolic analysis and its application to biomedical recordings
- From time series to complex networks: The visibility graph
- Positive Liapunov exponents and absolute continuity for maps of the interval
- Quantifying sudden changes in dynamical systems using symbolic networks
- Probability and Random Processes for Electrical and Computer Engineers
- GENERALIZED STATISTICAL COMPLEXITY MEASURE
- An Introduction to Symbolic Dynamics and Coding
- Symbolic Dynamics
- On Information and Sufficiency
- Networks
This page was built for publication: Using symbolic networks to analyse dynamical properties of disease outbreaks