Network Dynamics
SIS Spreading
In this session we implement a simple SIS model on a network. Nodes switch between Susceptible (S) and Infected (I).
Case Studies
What do we need?
networkx
Create graphs and store node states.
matplotlib.pyplot
Draw graphs and plot time series of S and I.
References
- Session code: amlab/networks_complex
- Curated references: references