Complex network approaches to nonlinear time series analysis
In the last decade, there has been a growing body of literature addressing the utilization of
complex network methods for the characterization of dynamical systems based on time …
complex network methods for the characterization of dynamical systems based on time …
[HTML][HTML] Complex systems methods characterizing nonlinear processes in the near-earth electromagnetic environment: Recent advances and open challenges
G Balasis, MA Balikhin, SC Chapman… - Space Science …, 2023 - Springer
Learning from successful applications of methods originating in statistical mechanics,
complex systems science, or information theory in one scientific field (eg, atmospheric …
complex systems science, or information theory in one scientific field (eg, atmospheric …
Entropy measures, entropy estimators, and their performance in quantifying complex dynamics: Effects of artifacts, nonstationarity, and long-range correlations
Entropy measures are widely applied to quantify the complexity of dynamical systems in
diverse fields. However, the practical application of entropy methods is challenging, due to …
diverse fields. However, the practical application of entropy methods is challenging, due to …
Debates—Does information theory provide a new paradigm for Earth science? Causality, interaction, and feedback
The concept of causal interactions between components is an integral part of hydrology and
Earth system sciences. Modelers, decision makers, scientists, and other water resources …
Earth system sciences. Modelers, decision makers, scientists, and other water resources …
Temporal information partitioning: Characterizing synergy, uniqueness, and redundancy in interacting environmental variables
AE Goodwell, P Kumar - Water Resources Research, 2017 - Wiley Online Library
Abstract Information theoretic measures can be used to identify nonlinear interactions
between source and target variables through reductions in uncertainty. In information …
between source and target variables through reductions in uncertainty. In information …
[图书][B] Networks in climate
Over the last two decades the complex network paradigm has proven to be a fruitful tool for
the investigation of complex systems in many areas of science; for example, the Internet …
the investigation of complex systems in many areas of science; for example, the Internet …
Unified functional network and nonlinear time series analysis for complex systems science: The pyunicorn package
We introduce the pyunicorn (Pythonic unified complex network and recurrence analysis
toolbox) open source software package for applying and combining modern methods of data …
toolbox) open source software package for applying and combining modern methods of data …
Geospace perturbations induced by the Earth: The state of the art and future trends
A systematic multi-parameter and multi-platform approach to study the slow process of
earthquake preparation is fundamental to gain some insights on this complex phenomenon …
earthquake preparation is fundamental to gain some insights on this complex phenomenon …
Untangling the solar wind and magnetospheric drivers of the radiation belt electrons
Many solar wind parameters correlate with one another, which complicates the causal‐effect
studies of solar wind driving of the magnetosphere. Conditional mutual information (CMI) is …
studies of solar wind driving of the magnetosphere. Conditional mutual information (CMI) is …
[HTML][HTML] Causality and information transfer between the solar wind and the magnetosphere–ionosphere system
An information-theoretic approach for detecting causality and information transfer is used to
identify interactions of solar activity and interplanetary medium conditions with the Earth's …
identify interactions of solar activity and interplanetary medium conditions with the Earth's …