Handling Network DataCovers handling network data, types of graphs, centrality measures, and properties of real-world networks.
Centrality and HubsExplores centrality, hubs, eigenvectors, clustering coefficients, small-world networks, network failures, and percolation theory in brain networks.
Building Ramanujan GraphsExplores the construction of Ramanujan graphs using polynomials and addresses challenges with the probabilistic method.
