Georgia Tech CS 8803-CSS: Computational Social Science by Jacob Eisenstein
From the webpage:
The principle aim for this graduate seminar is to develop a broad understanding of the emerging cross-disciplinary field of Computational Social Science. This includes:
- Methodological foundations in network and content analysis: understanding the mathematical basis for these methods, as well as their practical application to real data.
- Best practices and limitations of observational studies.
- Applications to political science, sociolinguistics, sociology, psychology, economics, and public health.
Consider this as an antidote to the “everything’s a graph, so let’s go” type approach.
Useful application of graph or network analysis requires a bit more than enthusiasm for graphs.
Just scanning the syllabus, devoting serious time to the readings will give you a good start on the skills required to be useful with network analysis.
I first saw this in a tweet by Jacob Eisenstein.