648 citations
Counting papers with at most 25 authors, so collaboration author lists do not stand in for the people here.
- Stockholm UniversitySE40 papers
- Potsdam Institute for Climate Impact ResearchDE35 papers
- Humboldt-Universität zu BerlinDE24 papers
- Leibniz AssociationDE13 papers
- University of AberdeenGB11 papers
- University of PotsdamDE10 papers
- Utrecht UniversityNL4 papers
- Australian National UniversityAU3 papers
- Mercator Research Institute on Global Commons and Climate ChangeDE3 papers
- Saratov State UniversityRU3 papers
- Carl von Ossietzky Universität OldenburgDE2 papers
- Centre National de la Recherche ScientifiqueFR2 papers
7 papers · 1 filter
Complex network approaches to nonlinear time series analysis
Yong Zou, Reik V. Donner, Norbert Marwan +2
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 se…
Mapping and discrimination of networks in the complexity-entropy plane
Marc Wiedermann, Jonathan F. Donges, Jürgen Kurths +1
Complex networks are usually characterized in terms of their topological, spatial, or information-theoretic properties and combinations of the associated metrics are used to discri…
A climate network-based index to discriminate different types of El Niño and La Niña
Marc Wiedermann, Alexander Radebach, Jonathan F. Donges +2
El Niño exhibits distinct Eastern Pacific (EP) and Central Pacific (CP) types which are commonly, but not always consistently, distinguished from each other by different signatures…
Unified functional network and nonlinear time series analysis for complex systems science: The pyunicorn package
Jonathan F. Donges, Jobst Heitzig, Boyan Beronov +9
We introduce the \texttt{pyunicorn} (Pythonic unified complex network and recurrence analysis toolbox) open source software package for applying and combining modern methods of dat…
Disentangling different types of El Niño episodes by evolving climate network analysis
Alexander Radebach, Reik V. Donner, Jakob Runge +2
Complex network theory provides a powerful toolbox for studying the structure of statistical interrelationships between multiple time series in various scientific disciplines. In t…
How complex climate networks complement eigen techniques for the statistical analysis of climatological data
Jonathan F. Donges, Irina Petrova, Alexander Loew +2
Eigen techniques such as empirical orthogonal function (EOF) or coupled pattern (CP) / maximum covariance analysis have been frequently used for detecting patterns in multivariate…
Testing time series irreversibility using complex network methods
Jonathan F. Donges, Reik V. Donner, Jürgen Kurths
The absence of time-reversal symmetry is a fundamental property of many nonlinear time series. Here, we propose a new set of statistical tests for time series irreversibility based…