Lectures related to Cayley Graphs: Properties and Applications

Covers the graphical definition of functions, focusing on level sets and domains.

Analyzes a function's graph, discussing local and global extrema and concavity intervals.

Explores distances on graphs, cut norms, spanning trees, blockmodels, metrics, norms, and ERGMs in network data analysis.

Covers the terminology related to the graph of a function and intervals.

Covers Cayley graphs, generators, group examples, and graph structures.

Covers the fundamentals of connectivity in graph theory, including paths, cycles, and spanning trees.

Explores finding the equation of a tangent hyperplane to a function and its implications.

Covers stochastic properties, network structures, models, statistics, centrality measures, and sampling methods in network data analysis.