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- Lecture 1: SNA
- 0. Network packages in R
- 1.1. Simple descriptives - Network size
- 1.2. Simple descriptives - Density and components
- 1.3. Simple descriptives - Diameter and clustering coefficient
- 1.4 Network Descriptives Cheatsheet
- 2.1. Network representation via statnet - Starting from the adjacency matrix
- 2.2. Network representation via statnet - Starting from the edgelist
- 2.3. Network representation via statnet - Set node attributes
- 2.4. Network representation via statnet - Set tie attributes
- 2.5. Network representation via igraph - Starting from the adjacency matrix
- 2.6. Network representation via igraph - Starting from the edgelist
- 3. Network visualisation
- 4. Centrality measures - Degree, closeness and betweenness
- 5.1. Network clustering
- 5.2. Network clustering - The behavior of Q
- 6.1. Homophily - Data and Network creation
- 6.2. Homophily - Network Plotting
- 6.3. Homophily - Network Properties
- 6.4. Homophily - Heterophilicity
- 6.5. Homophily - Dyadicity
- 7. Graph representation learning