Analyzing the spread of an epidemic on a social interaction network, based on the yearbook of a high school class, where students could write a paragraph for their friends, giving a proxy for the social connections in that class.

• implementation_and_results.ipynb for notebook that generates and shows most results.
• Simulation.py contains the general model
• Distribution.py is a helper class that significantly speeds up random sampling by bulk sampling at runtime. (author: Marko Boon)
• network_data.py contains the networks edges and the (made-up) names.
• names_vertexNr.xlsx translates vertex number to the (made-up) names.