Network Analysis and Visualization


  • Elijah MeeksDigital Humanities SpecialistStanford University


2101 Benjamin Building


This course will cover the principles of network analysis and representation with an emphasis on expressing network structures and measures using information visualization. The tool we’ll be using will be Gephi, which is freely available at, with some time spent on learning how to deploy your network visualization in a dynamic or interactive manner on the web using a variety of frameworks. This course will introduce and explain a variety of traditional network statistics, such as various measures of centrality and clustering, and explain the appropriate use of network statistics to various classes of networks. The workshop will consist of lectures followed by discussion and hands-on activities. If participants can bring a sample of their network data, the activities will usually be applicable to all manner of networks, but a variety of sample network datasets will be available to explore different network phenomena. This workshop will cover traditional social networks, geographic networks, dynamic networks, and n-partite networks and will deal with issues of modeling networks, formatting data, and using information visualization best practices in representation of your network.

Course Website:

Course Readings/Packet:


Course Schedule:

Monday, 4 August 2014

9:30-Noon – Session 1 – Introduction

1:00-4:00 – Session 2 – Network data


Tuesday, 5 August 2014

9:00-Noon – Session 3 – Preparing your data

1:00-5:00 – Session 4 – Measuring Networks


Wednesday, 6 August 2014

9:00-Noon – Session 5 – Basic node-level network analysis

1:00-2:15 – Session 6 – Intermediate node-level network analysis


Thursday, 7 August 2014

9:00-Noon – Session 7 – Structural network analysis

1:00-5:00 – Session 8 – Intermediate visualization techniques


Friday, 8 June 2014

9:00-Noon – Session 9 – Applications

1:00-2:30 – Session 10 – Publication

Problems or Questions?

Please feel free to contact us!