These are the projects that I wrote for the Social Gaming course in Technical University of Munich in Summer 2018. I got the highest grades in each project and in the final exam.
- Introduction to Python and Graphs
- Centrality Measures
- Collaborative Filtering Recommender System
- Clustering (K-Means)
- Group Recommender System
- Reality Mining: Sensing Social Complex Systems
Detailed descriptions are in the ipynb files in each project's directory.
See Installation_guide.pdf for installing jupyter, igraph and cairo.
Feel free to contribute.
You can distribute this software freely under GNU GPL v3.0.