/Epidemic-Modeling

Final Project for CS-E5740 Complex Networks at Aalto University

Primary LanguageJupyter NotebookMIT LicenseMIT

Epidemic-Modelling

CS-E5740 Complex Networks Course Project, Aalto University

Developers

Hossein Firooz

Libraries used

Networkx

Tasks

  1. Basic implementation the SI(suspected, infected) spreading model using the temporal air traffic data.
  2. Evaluate the effect of infection probability p on spreading speed.
  3. Effect of seed node selection on spreading speed.
  4. Evaluate how different centrality measure correlate with a good hiding place.
  5. Evaluate different immunizations strategies based on centrality measures, random immunization and pick-a-neighbour strategy.
  6. Evaluate what is a good predictor to find important disease spreading links.

Find task implementations in the project.ipynb notebook, task descriptions in project_descriptions.pdf and the observed findings in Final_Project_CN.pdf