1
Introduction
1.1
What is a Network?
1.2
What is A
Social
Network?
1.3
The Two Faces of Social Network Analysis
2
Graphs
2.1
Social Network Analysis: From Relationships to Graphs
2.2
The Building Blocks of Graphs: Edges and Nodes
2.3
Symmetric Relations and Undirected Graphs
2.4
Asymmetric Relations and Directed Graphs
2.5
Anti-Symmetric Ties and Tree Graphs
2.6
Average Degree
2.7
Degree Distributions
2.8
Order and Size
2.9
Density
2.10
Ego-Centric Networks
2.11
Weighted Ties as a Measure of Strength
2.12
Di-graphs
2.13
Collecting Network Data
2.14
Practice Problems
2.14.1
2.14.2
2.14.3
2.14.4
2.14.5
2.14.6
3
Matrices
3.1
From Graph to Matrix
3.2
The Adjacency Matrix
3.3
The Symmetric Adjacency Matrix
3.4
The Asymmetric Adjacency Matrix
3.5
The Weighted Matrix
3.6
The Reachability Matrix
3.7
Practice Problems
3.7.1
3.7.2
3.7.3
3.7.4
3.7.5
4
Centrality and Composition
4.1
Degree Centrality
4.2
In-degree/Out-degree centrality
4.3
Betweenness Centrality
4.4
Eigenvector Centrality
4.5
Network Composition Measurements
4.6
Homophily
4.7
Practice Problems
4.7.1
5
Subgraphs
5.1
The Foundations of Network Connectivity
5.1.1
5.2
Cliques
5.2.1
5.3
Group Detection
5.4
Practice Problems
5.4.1
5.4.2
5.4.3
6
Where Do Networks Come From?
7
Network Structure and Social Outcomes
8
Whole Network
9
Diffusion
4.5
Network Composition Measurements
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