Statistical Analysis of Network Data

This lecture covers the dynamics and spreading of epidemics in network data, focusing on the SIR model, mass-action approximation, recovery processes, and the basic reproductive ratio. It also delves into network components, adjacency matrices, giant components, percolation, and the directed stochastic block model. The instructor discusses the implications of directed networks, in-degree and out-degree distributions, and the directed block model. The lecture concludes with a look at maximum likelihood estimation and algorithms for directed networks.