Graph Coloring: Theory and Applications

This lecture covers the theory and applications of graph coloring, focusing on the spectral clustering algorithm for community detection in networks. The instructor explains the process of estimating the number of communities in a network using the belief propagation algorithm and analyzes the results obtained. The lecture also delves into the concept of assortative and disassortative networks, highlighting the importance of understanding the structure of networks for various applications.