This is an introductory course, covering the concepts, methods and data analysis techniques of social network analysis. The course is based on the book "Analyzing Social Networks" by Borgatti et al. (Sage) and all participants will be issued with a copy of
Statistical analysis of social networks (11 - 15 July 2016)
Dr. Johan Koskinen
This is an introduction to statistical analysis of networks. While no strict prerequisites are assumed, you might find it helpful to have some basic knowledge of social network analysis beforehand (e.g. the 4-8 July Introduction to SNA, above). You will be
introduced to and apply some statistical techniques to SNA with a particular focus on exponential random graph model (otherwise known as ERGM or p-star) and stochastic actor-oriented models (you may be familiar with the acronyms SAOM, SABM, and SIENA).
If you want to hedge your bets and guarantee a sunny stay in Manchester why not take both courses and explore the birthplace of the industrial revolution, capitalism, communism, the coop, and manchester united in the intervening weekend?
Please feel free to forward to anyone who might find this of interest.
All the best,
The Mitchell Centre for SNA
Social Statistics Discipline Area
School of Social Sciences
Humanities Bridgeford Street
University of Manchester
Tel: +44 (0)161 30 66 953