36-720 Network Models

6 units, Carnegie Mellon University

This course is a rapid introduction to the statistical modeling of social, biological and technological networks. No prior experience with networks is expected, but familiarity with statistical modeling is essential. Topics basic graph theory data collection and sampling random graphs block models and community discovery latent space models small world and preferential attachment models exponentialfamily random graphs visualization model validation dynamic processes on networks. Prereqs None.

Prerequisites: none listed

Courseweave needs JavaScript to show sections, workloads and planning tools.