Centre for Digital Humanities


CDH Workshop: Getting started with network visualization – introductory Gephi course for humanities staff

Event details

21 March 2023
13:00 - 17:00
Digital Humanities Workspace
Drift 27 (Room 0.32), Utrecht, 3512 BR

In this workshop, Jeroen Bakker, junior researcher at Utrecht Data School, and Sander Prins, teaching and research assistant, will introduce you to network analysis and visualization using Gephi. After this hands-on session, you will be able to conduct a network research on a large dataset.

Network visualization of one and a half million tweets.

Networks are all around us. The relationship between friends on Facebook, money flows between businesses, or characters in a novel: they can all be studied as parts of a network. These types of analyses can open up a wealth of new perspectives, granting insights into the dynamics of social and cultural phenomena that could not be discovered through traditional methods.

Getting started with network analysis can be daunting, however. This course for humanities staff aims to take away the initial hurdles of data collection, preparation and visualization by offering an accessible entry into the world of networks. In this interactive workshop you’ll be introduced to the core concepts of network analysis, after which you’ll go hands-on with the open-source network visualization software Gephi to study a large-scale social media conversation. You will learn how to detect communities, find important actors within the debate and filter for relevant data.

Admission is free, but the number of participants is limited, so please register as soon as possible (first come, first served). If you are unable to attend, please cancel your registration by sending an email to CDH@uu.nl, so another participant can take your place.

Please note: the Centre for Digital Humanities aims to promote digital literacy amongst staff-members. When taking this course, the CDH will automatically settle a DCU compensation of 10 hours with your department, which equals 0,45 DCUs (this is double the actual time investment).