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Projects for Social Gaming course in Technical University of Munich

License: GNU General Public License v3.0

Jupyter Notebook 100.00%
centrality clustering clustering-algorithm k-means k-means-clustering k-means-implementation-in-python social-network social-network-analysis social-networks social-network-graph

tum-social-gaming-projects's Introduction

TUM Social Gaming Projects

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.

Descriptions

  1. Introduction to Python and Graphs
  2. Centrality Measures
  3. Collaborative Filtering Recommender System
  4. Clustering (K-Means)
  5. Group Recommender System
  6. Reality Mining: Sensing Social Complex Systems

Detailed descriptions are in the ipynb files in each project's directory.

Installation

See Installation_guide.pdf for installing jupyter, igraph and cairo.

Contribution

Feel free to contribute.

Distribution

You can distribute this software freely under GNU GPL v3.0.

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