The School of Computer Science at the University of Windsor is pleased to present...
Technical Workshop Presentation by:Bahareh Rahmatikargar PhD Student
Interactive (Social) Network Visualization Using Pyvis Library
Presenter: – Bahareh Rahmatikargar PhD Student
Date: Wednesday, November 30, 2022
Time: 12:00pm – 1:00pm
Location: 4th Floor (Workshop space) at 300 Ouellette Avenue (School of Computer Science Advanced Computing Hub)
LATECOMERS WILL NOT BE ADMITTED once the presentation has begun.
Abstract:
Social networks are an indispensable part of today’s life. Social network analysis (SNA) studies the network’s structure which can provide insight into social influences within teams and the relationship between people. We can quickly and easily understand a lot of information about the state and characteristics of a given network just by visualizing the network. This workshop consists of two parts: The theoretical part provides a high-level overview of social network analysis and its applications. Also, the practical part gives a good understanding of one of the most powerful network visualization libraries (Pyvis).
After successful completion of this workshop, the participants should be able to:
Describe the fundamentals of social networks including different centrality measures, and the application of SNA such as node classification, link prediction, graph classification, and community detection.
Use the Pyvis library to visualize a given social graph.
Prerequisites:
Familiarity with Python programming language is preferred.
Biography:
Bahareh Rahmati is an enthusiastic Ph.D. student who has started her program at the School of Computer Science in January 2021. Her research is in the field of data science and AI, with focus on graph-based recommendation systems and explainable AI. She has currently published multiple papers in top-tier conferences.