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CABDyN Complexity Centre

CABDyN Complexity Centre


Social Network Analysis 

Course providers: Dr Felix Reed-Tsochas (SBS & Sociology) and Dr Paolo Campana (Sociology)

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.

Teaching arrangements and course content:

The course is taught through eight two-hour sessions offered in Trinity Term. Additional hands-on computer lab sessions will also be offered. 

More information here.