Network Analysis from Scratch: Intro to Gephi
In person
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 course will be taught by Tsz (Brian) Ho Wong.
After taking part in this event, you may decide that you need some further help in applying what you have learnt to your research. If so, you can book a Data Surgery meeting with one of our training fellows.
More details about Data Surgeries.
Those who have registered to take part will receive an email with full details on how to get ready for this course.
If you’re new to this training event format, or to CDCS training events in general, read more on what to expect from CDCS training. Here you will also find details of our cancellation and no-show policy, which applies to this event.
Level
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.
Learning Outcomes
- 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.
Skills
By attending this course, you will familiarise yourself 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
Explore More Training
- From Qualitative Data to Quantified Connections – An Introduction to Epistemic Network Analysis
- Digital Method of the Month: Network Analysis
Return to the Training Homepage to see other available events
Room 4.35, Edinburgh Futures Institute
This room is on Level 4, in the North East side of the building.
When you enter via the level 2 East entrance on Middle Meadow Walk, the room will be on the 4th floor straight ahead.
When you enter via the level 2 North entrance on Lauriston Place underneath the clock tower, the room will be on the 4th floor to your left.
When you enter via the level 0 South entrance on Porters Walk (opposite Tribe Yoga), the room will be on the 4th floor to your right.
