Technical Workshop Series
An Overview of Social Network Analysis Concepts and Familiarity with Pyvis Library in Python for Network Visualization (2nd Offering)
Presenter: Bahareh Rahmatikargar
Date: Thursday, June 13th, 2024
Time: 11:00 AM
Location: 4th Floor (Lecture Space) at 300 Ouellette Avenue (School of Computer Science Advanced Computing Hub)
Hands-on workshop, please bring your laptop
Abstract: Social networks have become indispensable in modern life. Social network analysis (SNA) examines the structure of these networks, offering insights into social influences within teams and the relationships between individuals. By visualizing a network, we can quickly and easily grasp extensive information about its state and characteristics.
This workshop comprises two parts:
- Theoretical Overview: This section provides a high-level introduction to social network analysis and its various applications.
- Practical Application: This section offers a comprehensive understanding of Pyvis, one of the most powerful libraries for network visualization.
Workshop Outline: After successful completion of this workshop, participants will be able to:
Describe the fundamentals of social networks, including:
- Different centrality measures
- Applications of social network analysis (SNA), such as:
- Node classification
- Link prediction
- Graph classification
- Community detection
- Use the Pyvis library to visualize a given social graph.
Prerequisites:
Knowing the Python programming language is a prerequisite.
Biography: Bahareh Rahmati is an enthusiastic Ph.D. student who 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. She currently has multiple papers published in top-tier venues.