Network Analysis and Visualization

Description

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 gephi.org, 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

emeeks.github.io/networks

Course Readings/Packet

www.dropbox.com/s/xljupy90ypo5929/Network%20Analysis%20Coursepack.pdf

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