Gephi Part 2: Conducting Network Analysis Online
This workshop will build on the Fall 2023 workshop "Gephi Part 1: Introduction to Network Visualizations" to look at how one can conduct network analysis for research. We will go through a case example together and discuss more features that researchers can use to design their own network visualizations.
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. All participants should watch the recording of the Fall 2023 workshop on Introduction to Network Visualizations, which is available on the Sherman Centre's Online Learning Catalogue.
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 email@example.com.
- Thursday, January 18, 2024
- 1:30pm - 2:30pm
- Time Zone:
- Eastern Time - US & Canada (change)
- This is an online event. Event URL will be sent via registration email.
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.