Social Networks & Online Markets - Homework 1

This is a repository created to submit the Homework 1 of the Social Networks & Online Markets course for the MSc. in Data Science at the Sapienza University of Rome.

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What's inside this repository?

1. README.md: A markdown file that explains the content of the repository.

2. main.ipynb: A Jupyter Notebook file containing all the relevant exercises and reports belonging to the homework questions.

3. modules/: A folder including 3 Python modules used to solve the exercises in main.ipynb. The files included are:

   • __init__.py: A init file that allows us to import the modules into our Jupyter Notebook.

   • eigen.py: A Python file including functions that help obtain the second smallest eigenvalue of the normalized Laplacian matrix of a graph.

   • bcm.py: A Python file including a BoundedConfidence class designed to make simulations of the Modified Bounded Confidence opinion dynamics model defined in main.ipynb.

   • gnn.py: A Python file including a LinkPrediction and NodePrediction class designed to perform node classification and link prediction tasks using different GNN architectures.

4. images/: A folder including auxiliary images for main.ipynb.

5. .gitignore: A predetermined .gitignore file that tells Git which files or folders to ignore in a Python project.

6. LICENSE: A file containing an MIT permissive license.

7. SocialNetworksHW_SanchezCortesMiguelAngel.pdf: A pdf file with the final report of the homework.