📔 Session A (Lecture)¶
Graph Theory and Networks
Overview of graph theory concepts: nodes, edges, and connectivity.
Introduction to network analysis: centrality, clustering, and community detection.
Applications: social networks, information diffusion, and epidemic modeling.
🔆 Graph Theory and Networks (Slides)
🖥️ Session B (Lab)¶
Gephi Tutorial: Network Visualization and Analysis
Introduction to Gephi: interface and basic functionalities.
Importing and visualizing network data.
Performing basic network analysis: calculating centrality measures and detecting communities.