This repository contains the practical assignments for the Analysis of Complex Networks course, which is part of the Master's Degree in Fundamental Principles of Data Science offered by the University of Barcelona.
- Course and Semester: 2024-25, spring semester.
- Authors: Marc Ballestero Ribó, Arnau Jutglar Puig.
The project consists of an exploration of the European Air Transport Multiplex Dataset, a multiplex network of airline routes among European airports, where each of the 37 edge types represents routes by a different airline.
In brief, we perform the following analyses:
- Microscale Analysis: computation of centrality measures.
- Macroscale Analysis: study of degree distributions, peripheries, transitivity, etc.
- Mesoscale Analysis: community detection using greedy modularity maximization, the Louvain algorithm and the Girvan-Newman algorithm.
- Dynamic Analysis: simulation of diffusive random walks and study of the correlation with centrality measures, simulation of a Kuramoto model in the network.
- Multiplex Representation: experiments with multiplex representations of the network.