Introduction to Statistical Network Analysis in R In-Person / Online
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.
· Install R and RStudio on your computer. You can find installation instructions here. Please contact us (cdsi.science@mcgill.ca) if you are having trouble with installation.
· You need to bring your own laptop for this workshop. Contact us if you would like to attend but it's impossible for you to bring a laptop.
Location: HYBRID. Online via Zoom, or in-person at Burnside Hall room 1104 (11th floor).
Instructor: Eric D. Kolaczyk, Director, Computational & Data Systems Initiative (CDSI).
- Date:
- Wednesday, May 3, 2023
- Time:
- 12:30pm - 2:30pm
- Location:
- Burnside 1104 (11th floor) (Map )
- Categories:
- R Statistics
