Gephi Part 1: Introduction to Network Visualizations Online
Learn to graph data and visualize networks at this virtual workshop on Gephi. Participants will learn how graph data can help express relationships between entities and visualize networks for Humanities scholars. The group will use a visualization tool intended for social network analysis to map and identify relationships.
Details: This virtual workshop will be recorded. The recording will be posted to the Sherman Centre's Online Learning Catalogue.
Preliminary Work/Prerequisites: Participants may download Gephi ahead of time, though there will be time during the workshop to download the program as well.
Facilitator Bio: Subhanya Sivajothy (she/her) brings a background of research in data justice, science and technology studies, and environmental humanities. She is currently thinking through participatory data design which allow for visualizations that are empowering for the end user. She also has experience in Research Data Management—particularly data cleaning and curation. Do not hesitate to reach out to her if you would like to talk more about data analysis and visualization as they evolve throughout the research process. Contact Subhanya at sivajos@mcmaster.ca.
- Date:
- Thursday, September 28, 2023
- Time:
- 1:30pm - 2:30pm
- Time Zone:
- Eastern Time - US & Canada (change)
- Online:
- This is an online event. Event URL will be sent via registration email.
- Audience:
- Everyone
- Categories:
- DMDS SCDS Sponsored Events Workshops
More information on Sherman Centre Events can be found on the SCDS Events page.
CODE OF CONDUCT
The Sherman Centre and the McMaster University Library are committed to fostering a supportive and inclusive environment for its presenters and participants. As a participant in this session, you agree to support and help cultivate an experience that is collaborative, respectful, and inclusive, as well as free of harassment, discrimination, and oppression. We reserve the right to remove participants who exhibit harassing, malicious or persistently disruptive behaviour. Please refer to our code of conduct webpage for more information.
