Social network analysis focuses on relationships between or among social entities
This course presents an introduction to advanced concepts, methods, and applications of social network analysis used in the social and behavioural sciences.
Wednesday 13 February at 14:00 - 17:00
Please meet at Edinburgh Business School at 13:15 for registration and refreshments
Earl Mountbatten EM183 Heriot-Watt University
The primary focus of these methods is the statistical analysis of relational data measured on populations of social actors. The course assumes that the participants are familiar with social network data and most basic methods, although there will be some review.
The course will cover:
- measuring general descriptive measures for social networks (centrality, clustering, structural equivalence, dyad and triad censuses) using the SNA package for R
- methods of comparing networks and basic statistical measures of permutation tests
- QAP procedure conditional uniform graph tests
- network autocorrelation models.
The R statistical programming package is required to follow along with the course material. It is freely available at the website below. I suggest also downloading R Studio. This is not necessary, but helps to organize the R windows and is an easier interface. It is also free. In addition to the base packages you install with R, we will also use additional packages. If possible, please download them prior to the start of the class. You are required to bring your own laptop to the workshop.
R (statistical programming language)
R Studio (a user interface that’s pretty nice and I will use in the workshop)
And the statnet, network, ndtv, sna, MASS and numderiv packages for R available from Cran.
If you do not yet have familiarity with R, you can try this online course as preparation
Interested? Book your place now