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/Two-Mode Networks
2.13
Collecting Network Data
2.14
Practice Problems
3
Graphs
3.1
Social Network Analysis: From Relationships to Graphs
3.2
The Building Blocks of Graphs: Edges and Nodes
3.3
Symmetric Relations and Undirected Graphs
3.4
Asymmetric Relations and Directed Graphs
3.5
Anti-Symmetric Ties and Tree Graphs
3.6
Practice Problems
3.6.1
3.6.2
4
Matrices
4.1
From Graph to Matrix
4.2
The Adjacency Matrix
4.3
The Symmetric Adjacency Matrix
4.4
The Asymmetric Adjacency Matrix
4.5
Matrix Multiplication
4.6
Affiliation/Two-Mode Matrix
4.7
The Reachability Matrix
4.8
Edge List
4.9
Practice Problems
5
Matrices
5.1
From Graph to Matrix
5.2
The Adjacency Matrix
5.3
The Symmetric Adjacency Matrix
5.4
The Asymmetric Adjacency Matrix
5.5
The Reachability Matrix
5.6
Practice Problems
6
Centrality and Composition
6.1
Degree Centrality
6.2
In-degree/Out-degree centrality
6.3
Betweenness Centrality
6.4
Eigenvector Centrality
6.5
Network Composition Measurements
6.6
Homophily
6.7
Practice Problems
7
Subgraphs
7.1
Practice Problems
8
Subgraphs
8.1
Practice Problems
9
Where Do Networks Come From?
10
Network Structure and Social Outcomes
11
Whole Network
12
Diffusion
6.4
Eigenvector Centrality
Page Rank (Burris 2003)
Previous
Next