Centre for Digital Humanities

Events

Getting started with network analysis – introductory Gephi course for Humanities staff

Event details

Date:
12 April 2022
Time:
13:00 - 17:00
Venue:
Digital Humanities Workspace
Drift 27 (Room 0.32), Utrecht, 3512 BR

*** Due to circumstances this workshop has been cancelled on April 12, the replacement workshop will be given on May 24. ***

In this workshop, Jeroen Bakker, junior researcher at Utrecht Data School, 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 and therefore compensates attendance at these courses in terms of DCU (22 hours = 1 DCU). The DCUs will be automatically settled with your department at the end of the course.