Analyzing Real-World Networks in Wolfram Language

Explore graph theory techniques for extracting insights from network data in this 1-hour 31-minute tutorial by Wolfram. Dive into social network analysis to identify influential individuals and uncover hidden sub-communities. Learn to compute maximum flow in railway networks and discover vulnerabilities. Apply Wolfram Language to real-world data analysis scenarios, focusing on practical applications of graph theory and data science. Gain hands-on experience with network analysis tools and methodologies used in social network analysis and infrastructure assessment.