Complex Networks and Network Science
From Erdős-Rényi to Barabási-Albert: small-world, scale-free, community, dynamics. With NetworkX. From UniTO Master's Complex Networks (102h).
Prerequisites
- Probability
- Intermediate Python
What you'll learn
- Generate and analyze random graphs
- Measuring centrality (degree, betweenness, eigenvector)
- Detecting communities (Louvain, Leiden)
- Modeling spread (SIR, threshold)