This three-session course introduces attendees to Gephi, a free and open-source network analysis and visualisation tool. The main focus will be on social network analysis. This is a beginner’s course; no prior knowledge is required, and no coding will be used in class.
The first session introduces the basic concepts and techniques of Gephi and dataset construction. It focuses on topics such as:
- Gephi’s basic concepts (edge characteristics and centrality measures)
- Preparing data for Gephi in Microsoft Excel
- Analysing social networks in Gephi (centrality and network level analyses)
The second session focuses on the plugins of Gephi and will continue the discussion on dataset construction. The topics will include:
- Introducing some Gephi plugins (GeoLayout and ExportToEarth)
- Incorporating OpenRefine and Generative AI in preparing a Gephi dataset
- Designing the attendees’ own dataset for Gephi in Microsoft Excel
The third session offers the attendees the opportunity to apply their own dataset in Gephi.
This is a beginner-friendly course. No previous knowledge on the topic is required/expected, and the trainer will cover the basics of the method.
- Organise (historical) data in spreadsheets.
- Gain a foundational understanding of Gephi’s use in social network analysis and visualisation.
- Know how to build your own dataset from (historical) data for network analysis.
- Confidently use Gephi in your current and future research.
By attending this course, you will become familiar with the following skills:
- Design a network analysis project
- Structuring data for network analysis
- Interpreting a network graph generated by Gephi
- Conducting network analysis in Gephi
