Skip to content

README.md

Latest commit

 

History

History
37 lines (29 loc) · 991 Bytes

README.md

File metadata and controls

37 lines (29 loc) · 991 Bytes

SIS Adaptive Epidemic Simulation

Description

This Python package provides two complementary SIS epidemic‑on‑adaptive-networks models: • A stochastic Gillespie algorithm (gillespie.py)
• A deterministic effective‑degree ODE model (effective_degree.py)

It includes a ready‑to‑run script (run_simulation.py) which reproduces a test figure.

Prerequisites

• Python ≥3.8
• networkx
• numpy
• scipy
• matplotlib

Installation

Clone the repository and install in “editable” (development) mode:

git clone <repository_url>
cd <repository_directory>
pip install -e .

Command‑Line Usage

Simply run:

python run_simulation.py

This will:

  1. Build an Erdős–Rényi graph (n=1000, m=1900).
  2. Execute one effective‑degree ODE simulation and five Gillespie simulations.
  3. Plot infected‑fraction vs. time and display it interactively.