Introduction to Statistical Network Analysis in R
Overview:
A gentle introduction to the statistical analysis of network data, largely through the lens of the R package igraph. Topics to be covered include basic definitions and concepts in networks, manipulation and visualization of network data, and tools for describing network characteristics (including a brief look at node clustering, aka ‘community detection’). Material will be drawn largely from Chs 1-4 of Kolaczyk and Csardi (2020), Statistical Analysis of Network Data in R, 2nd Edition.
Prerequisites:
· Learners should already be comfortable with loading, manipulating, and visualizing standard data types in R.
Date: Wednesday, 3 May 2023.
Time: 12:30 p.m. to 2:30 p.m.
Location: hybrid (in-person at Burnside Hall 1104, and online via Zoom).
Instructor: Eric D. Kolaczyk, Director, Computational & Data Systems Initiative (CDSI).
