S651 : Topics In Quantitative Sociology: Social Network Analysis
Interests in social network analysis have EXPLODED in the past few years. Aimed to examine social relationships and interactions from structural perspectives, social network analysis has become an essential tool for us to understand a variety of social issues, including organizational dynamics, political interactions, health behaviors, friendships, communications, etc. This course covers the major methods to collect, represent, and analyze social network data, and the latest advances in statistical network modeling. Students will learn hands-on skills to conduct their own research using popular software such as statnet in R and UCINet.
Semester(s) Offered: Fall
Instructor: Weihua An - firstname.lastname@example.org
Other Contact(s): Weihua An - email@example.com
Prerequisites: A basic understanding of logistic regressions.
Algebra Required?: No
Calculus Required?: No
Substantive Orientation: Social Sciences, informatics, statistics.
Statistical Orientation: Computational and statistical
Software Used: R
Data Analysis: Yes