Skip to Main Content
It looks like you're using Internet Explorer 11 or older. This website works best with modern browsers such as the latest versions of Chrome, Firefox, Safari, and Edge. If you continue with this browser, you may see unexpected results.

Network Analysis

What is Network Analysis and Social Network Analysis, and how you perform it.

Introductory Materials


  • A gentle and straight-forward introduction to the major basic concepts of social network analysis with some examples and applications

Video1 & Video 2

  • Short videos that introduce the concept of a social network, with several interesting historical examples and motivating cases


  • Node - Represents an entity (e.g., person)
  • Edge - Represents a relationship between two nodes. Can have different weights to represent the strength of the relationship.
  • Path/Connector - Indirect relationships between nodes through another node
  • Cluster - A group of nodes that has interrelationships. 
  • Degree - Number of connections (edges) for a node
    • Nodes with more degrees have more direct relationships
  • Closeness - How close or far a node is to all other nodes
  • Betweenness - How often a node is on the shortest path
    • Nodes with more betweenness connect clusters
  • Centrality - A measure of how many other nodes are related.