Skip to content

Course materials for module on modelling networks. John McLevey. 2024. Introduction to Computational Social Science with Python. GESIS Fall Seminar in Computational Social Science.

Notifications You must be signed in to change notification settings

gesis24csspy/modelling-networks

Folders and files

NameName
Last commit message
Last commit date

Latest commit

 

History

10 Commits
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 

Repository files navigation

Modelling Networks

This content is ready to go! As usual, create a CodeSpace or work locally use the DevContainers plugin and Docker Desktop. The virutal environment should be selected by default this time, so try running the code right away. 😎 If not, select the Poetry environment. It make need a couple of minutes to fully load.

Note that some cells in the Enron notebook will take some time to run. (Especially Models 3-4.) Some plotting commands will also be a bit slow, but we should be able to run things in the live session together without issue.

See you in class!

About

Course materials for module on modelling networks. John McLevey. 2024. Introduction to Computational Social Science with Python. GESIS Fall Seminar in Computational Social Science.

Topics

Resources

Stars

Watchers

Forks

Releases

No releases published

Packages

No packages published