This course will provide students with fundamentals of complex network theory, together with skills for applying this knowledge in to practical network analysis.
- Introduction to complex networks, fundamentals and basic concepts.
- Fundamental models: random networks, small-world networks, and scale-free networks.
- Network measures and analysis.
- Percolation theory.
- Weighted networks.
- Social networks.
- Network inference.
- Clustering and communities.
- Multilayer and temporal networks.