Social Network Analysis

Course Handbook
Class schedule

Course provided by:
Department of Sociology
Department of Politics and International Relations
CABDyN Complexity Centre, Sad Business School

Course provides:

Dr Felix Reed-Tsochas, Sad Business School and Sociology Department
contact details

Dr Paolo Campana, Sociology Department
contact details

Overview and Objectives:

This course is an introduction to Social Network Analysis. The aim is to give students an overview of research on Social Networks, and the descriptive measures, models and analytical methods for empirical Social Network Analysis. This course has a maximum capacity of 30 students. Upon completion of the course, students should be able to:

1. Formulate meaningful research questions in social network analysis;

2. Understand the basics of gathering network data, and the issues and problems in collecting network data;

3. Calculate a range of descriptive measures of social networks, and interpret these measures;

4. Specify empirical analysis of both cross-sectional and longitudinal network data, and interpret the results of such analyses;

5. Formulate agent-based models which generate networks with diverse global structures from local behaviour of agents.