DyNSimF - Dynamic Network Simulation Framework

DyNSimF is a Python package that serves as a framework to simulate dynamic networks. There are a lot of functions available that make it easy to implement custom models, analyse them, and then share them with others.

The aim of this framework is to design, describe, simulate, and study dynamic network models, for example:

• Psychological models

• Polarization (opinion dynamics)

• Epidemics

• Physics network models

Date	Python Versions	Main Author	GitHub	pypl
2023-12-12	>=3.6	Mathijs Maijer	Source	Distribution

Development Team

Name

Mathijs Maijer

Mike Lees

Sacha Epskamp

Maarten van den Ende

Han van der Maas