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, 2^nd Edition.

Prerequisites: 
· Learners should already be comfortable with loading, manipulating, and visualizing standard data types in R. CDSI offers an Introduction to programming in R on Tuesday, January 9th 2024.
· 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).

IMPORTANT NOTE: for those attending the workshop online, you must log-into your McGill Zoom account. Otherwise, the link will not work. You can do so on the browser here: https://mcgill.zoom.us/ . For more information on McGill Zoom, please visit this website: https://www.mcgill.ca/tls/students/learning-resources/use-technology/learning-zoom