Metadata-Version: 2.1
Name: resiland
Version: 0.2
Summary: A testbed that allows one to modify resilience of a multistable networked dynamical system in a controlled manner and to generate time series of observables
Home-page: https://github.com/tobfischer/resiland
Author: Tobias Fischer
Author-email: tobias.fischer@uni-bonn.de
License: UNKNOWN
Project-URL: Bug Tracker, https://github.com/tobfischer/resiland/issues
Platform: UNKNOWN
Classifier: Development Status :: 4 - Beta
Classifier: License :: OSI Approved :: MIT License
Classifier: Operating System :: POSIX
Classifier: Operating System :: MacOS :: MacOS X
Classifier: Operating System :: Microsoft :: Windows
Classifier: Programming Language :: Python :: 3
Classifier: Topic :: Scientific/Engineering :: Physics
License-File: LICENCE

Resiland is a testbed that allows one to modify resilience of a multistable networked dynamical system in a controlled manner and to generate time series of observables that may be used to evaluate the suitability of data-driven indicators of resilience. Resiland is a noval ansatz for simulation of a modification of system’s resilience (Resi-) in a potential landscape (-land). Self-induced transitions allow state changes without a change of resilience and distinguishable dynamics allow to simulate real-world systems with different functionings, structures and feedbacks. Furthermore, a change of the potential landscape influence resilience and simulations up to a system crises are possbile.

- Examples: Take a look into the examples to get started and for reference.
- Issue Tracker: Please report any bugs here. Also feel free to ask for new features.
- Installation instructions: In most cases, pip3 install resiland or similar should do the job.


