This repository contains the computational framework developed within the project for studying:

• Community-structured epidemic diffusion
• Media and awareness effects
• Ideological heterogeneity
• Opinion dynamics
• Synthetic and randomized network generation

.
├── epidemic/
│   ├── multi_type_epidemic.py
│   ├── config.json
│   └── input/
│
├── opinion/
│   ├── opinion_dynamics.py
│   ├── config.json
│   └── input/
│
├── network/
│   ├── config.json
│   └── geometric_block_model/
│       └── src/rhbm/
│           ├── rhbm_generate.py
│           └── rhbm_randomize.py
│
├── gui/
│   ├── epidemic_gui.py
│   ├── opinion_gui.py
│   └── network_gui.py
│
├── requirements.txt
└── README.md

Implements a multi-type extension of SIR/SIS with:

• Community-dependent mixing
• Media-intensity feedback
• Optional exposed stage (SEIR/SEIS)
• Mean-field and network simulation modes

Run:

cd epidemic
python multi_type_epidemic.py

GUI:

cd gui
python epidemic_gui.py

Implements:

• Community-based opinion evolution
• Social interaction term
• External risk-driven modulation
• Radicalization vs prudence regimes

Run:

cd opinion
python opinion_dynamics.py

GUI:

cd gui
python opinion_gui.py

Two tools are available:

• rhbm_generate.py: synthetic network generation
• rhbm_randomize.py: randomization of observed networks

Located in:

network/geometric_block_model/src/rhbm/

GUI:

cd gui
python network_gui.py

Clone repository:

git clone https://gitlab.com/YOUR_GROUP/YOUR_REPO.git
cd YOUR_REPO

Install dependencies:

pip install -r requirements.txt

All simulations are parameter-driven via JSON configuration files.

Random seeds are controlled in configuration files.

MIT License.

If you use this software in academic work, please cite:

[Insert project citation or DOI here]