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SOE: Fachverband Physik sozio-ökonomischer Systeme
SOE 7: Poster
SOE 7.17: Poster
Montag, 18. März 2024, 18:00–20:30, Poster D
An Open Source toolbox for Complex Systems Science: The `pyunicorn` package — •Fritz Kühlein1,2, Lukas Röhrich1,3, and Jonathan Donges1,4 — 1Potsdam Institute for Climate Impact Research, Germany — 2Martin-Luther-University Halle-Wittenberg, Germany — 3Humboldt-University of Berlin, Germany — 4Stockholm Resilience Center, Sweden
Pyunicorn is shorthand for the Python Unified Complex Network and Recurrence Analysis Toolbox. First developed at the Potsdam Institute for Climate Impact Research and published by Donges et al. (2015), it has since been under active further development as an open source project. Pyunicorn facilitates the innovative synthesis of methods from both network theory and nonlinear time series analysis in order to develop novel integrated methodologies. Such methodologies can be applied in various disciplines, such as climatology, neuroscience, social science, infrastructure or economics. Features of Pyunicorn include the construction and analysis of climate networks, interacting networks, recurrence networks and visibility graphs to name just a few, as well as event series analysis tools among the more recently included. The modular, object-oriented structure of Pyunicorn makes it highly versatile and intuitive to use. As we have been working on the latest revised version release of Pyunicorn, we primarily aim to present the package's features and applications in its current state, but also to share retrospective insight on the fruits and pitfalls of managing an open source project over almost a decade.
Keywords: complex systems; climate networks; recurrence analysis; nonlinear timeseries; open source software