What you will learn

• Understand the fundamental principles underlying network structures and apply NetworkX to analyze these principles in real-world networks.

• Describe the practical uses of the community detection problem and use algorithms to detect and evaluate community structure in real networks.

• Explain the value and applications of network generation models, learn their limits and strengths, and employ them to create synthetic networks.

• Identify several basic diffusion models and implement them to run simulations using real and synthetic networks.