Analysing Social Networks with Statistics

The course enables students to use statistical tools to analyse social network data. While Social Network Analysis (SNA) has long been used as an exploratory method, hypothesis testing and estimation techniques with network data is becoming an increasingly popular method in social science that require specific statistical techniques. The course will have a practical focus and will introduce students to a range of basic and more advanced statistical models through hands-on computer work. These techniques will enable students to test the research questions (hypotheses) they will consider in their dissertation work. Students will also learn how to analyse network dynamics and large samples of ego-networks (personal networks) using single- and multi-level modelling. Credit Level: 11 Year taken: Postgraduate