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Sunday, June 18 • 2:00pm - 2:35pm
Uncovering New Open Source Communities Graphically

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Open source ecosystems are constantly expanding, with new communities growing and evolving every day. Tracking emerging projects, communities, and user groups is beneficial for business leaders, OSPOs and individual contributors who want to invest in, support and discover exciting projects.

This talk showcases how graph theory techniques and algorithms can be used to depict open source communities and uncover the relationships between them. Through the Augur OSS project, we collect data for various GitHub projects and represent them as a graphical network. We demonstrate the use of centrality algorithms such as PageRank and Betweenness centrality to identify significant project communities in connection to well established projects.

By examining the graphs, we can discover key user groups and track the growth of new communities. Attendees walk away learning how to visualize open source ecosystems and the importance of graphical techniques in simplifying complex systems and networks.
Speakers
avatar for Hema Veeradhi

Hema Veeradhi

Senior Data Scientist, Red Hat
Hema Veeradhi is a Senior Data Scientist working in the Emerging Technologies team part of the office of the CTO at Red Hat. Her work primarily focuses on implementing innovative open AI and machine learning solutions to help solve business and engineering problems.
avatar for Oindrilla Chatterjee

Oindrilla Chatterjee

Senior Data Scientist, Red Hat
Oindrilla is a Senior Data Scientist at Red Hat, in the Office of the CTO working on emerging trends and research in ML and AI. She works on evaluating new tools, platforms, and methodologies in the open source Data Science ecosystem, for enhancing Red Hat products and internal services... Read More →

Sunday June 18, 2023 2:00pm - 2:35pm CEST
D0207 | Talks
  Open track, Talk
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Attendees (3)