Prerequisites: MA225 or MA590
Probabilistic tools for random graphs: Convergence of random variables, probabilistic bounds, coupling, martingales; Branching processes: Survival vs extinction, random walk perspective, binomial and Poisson branching processes; Erdos-Renvi random graphs: Comparison to branching processes, phase transition for the largest connected component, central limit theorem for the giant component, behavior in the critical window, degree structure; Random graph models for complex networks: Degree structure, connectivity properties, small world behavior.
Text:
References: