|Class Time:||2:30PM - 5:00PM|
|Pre-Requisites:||This course requires a basic understanding of logistic regressions at the level of Statistics 503 or Sociology 650 (Categorical Data Analysis).|
|Syllabus:||No Syllabus Avaliable|
|Description:||Interests in social network analysis have EXPLODED in the past few years. Aimed to examine social relationships and interactions from a structural perspective, social network analysis has become an essential tool for us to understand a variety of social issues, including organizations, business, economic development, innovations, politics, crime, health, friendships, communications, inequality, mobility, to name only a few.
This course covers the basic concepts and theory in social network analysis, the major approaches and methods to collect, represent, and analyze social network data, and the latest advances in statistical network models. Students will learn hands-on skills to conduct their own network research using popular software such as UCINet and R.