If you use these materials, please include the following citation.
SkylerCranmer, , 2012, "Workshop: ERGMs and their extensions", http://opossem.org/content/workshop-ergms-and-their-extensions
Type of Material:
Lecture Notes and Slides
Creative Commons License:
CC BY-NC-SA 3.0
Level:
grad
The exponential random graph model (ERGM) is a powerful and popular way of conducting statistical inference on network data. This workshop discusses the scope of relational data in the social sciences, the shortcomings of regression-based approaches to inference on networks, introduces the ERGM, and discusses several of its recent extensions.
If you use these materials, please include the following citation.
MichaelHeaney, , 2011, "Basics of Network Computing", http://opossem.org/content/basics-network-computing
Type of Material:
Lecture Notes and Slides
Type of Material:
Dataset
Creative Commons License:
CC BY-NC-SA 3.0
Level:
grad
Level:
undergrad
The attached materials are suitable for an introductory 3-hour lesson on the basics of network computing. It is appropriate for any beginners, either at the undergraduate or graduate level.
This is a graduate level sylabus focuses on introducing the study of political networks. It includes material on network theory, methods, and applications in political science.