Network Science (2024/2025)

Videos

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Quick links to videos from previous editions of the course

• Chapter 1 - Fundamentals of Network Science
• Motivation and the "small world" phenomenon [23m36s]
• Emergence of Network Science [36m33s]
• Brief Introduction to Graph Theory and Network Vocabulary [35m33s]
• Chapter 2 - Measuring Networks and Random Graph Models
• Measuring Graphs and Results on Real Networks [54m27s]
• Erdös-Renyi Random Graph Model [56m39s]
• Small-World Random Graph Model [29m11s]
• Power Laws and Preferential Attachment [1h35m09s]
• Chapter 3 - Node Centrality
• Node Centrality [1h10m49s]
• Chapter 4 - Link Analysis and PageRank
• Link Analysis and PageRank [1h44m03s]
• Chapter 5 - Graph Visualization and Exploration with Gephi
• Gephi Tutorial [41m11s]
• Chapter 6 - Roles and Community Structure in Networks
• Roles and Community Structure in Networks [1h37m39s]
• Chapter 8 - Subgraphs as Fundamental Ingredients of Complex Networks
• Subgraphs as Fundamental Ingredients of Complex Networks [2h11m21s]
• Chapter 9 - Diffusion and Cascading Behavior
• Diffusion and Cascading Behavior - Part 1 (Decision Based Models) [58m59s]
• Diffusion and Cascading Behavior - Part 2 (Probabilistic Models) [1h29m38s]
• Chapter 10 - Network Construction
• Network Construction [1h34m41s]