Description: compsoc – Notebooks for Computational Sociology is a toolkit that tries to lower the hurdles of using digital behavioral data and computational methods. Digital behavioral data (e.g., from digital platforms or recorded via social sensors) provides new opportunities for computational social science because it is voluminous, dynamic, and rich. The tools provided are aimed at unlocking this potential. Start the toolkit by clicking on the "launch binder" button.
Editor: Haiko Lietz, GESIS - Leibniz Institute for the Social Sciences
Version Date: 15 May 2025
License and citation: CC BY: Distribute, remix, adapt, and build upon compsoc, even commercially, as long as you credit us for the original creation. You can cite this toolkit as follows:
Lietz, H. (ed.) (2025). compsoc – Computational Social Methods in Python. Cologne: GESIS – Leibniz Institute for the Social Sciences. https://github.com/gesiscss/compsoc
