Statistical Analysis of Social Networks
Faculteit  Gedrags en MaatschappijWetenschappen 
Jaar  2020/21 
Vakcode  GMMSGE16 
Vaknaam  Statistical Analysis of Social Networks 
Niveau(s)  master 
Voertaal  Engels 
Periode  semester I a 
ECTS  5 
Rooster  rooster.rug.nl 
Uitgebreide vaknaam  Statistical Analysis of Social Networks  
Leerdoelen  Students develop problem awareness related to the analysis of interdependent data, in particular sociocentric network data. They gain knowledge about the prevalent statistical techniques to analyse these data, and develop the practical skills to perform these analyses with the pertinent software packages.  
Omschrijving  Social network analysis is the study of interdependence, and as such at odds with the independence assumptions underlying most of the common statistical methods. Moreover, network researchers often are interested in understanding networklevel properties as emergent consequence of individual relational behaviour. The analysis of social network data therefore requires tools that are designed to deal with network interdependence as well as emergence. In this course, the two most prominent approaches achieving this dual task stand central: exponential random graph models and stochastic actororiented models. On the one hand, these can be calibrated to empirical data sets. This makes it possible to assess empirical evidence for network mechanisms of interdependence, like reciprocation, clustering, homophily, or peer influence. On the other hand, they can be used for generating artificial data, which makes it possible to systematically study emergent phenomena like segregation or hierarchy formation. In the accompanying computer labs and assignments, students will learn how to practically work with these models, making use of different Rbased software packages. 

Uren per week  2  
Onderwijsvorm 
computerpracticum, hoorcollege
(attendance of the computer practicals is mandatory) 

Toetsvorm  opdrachten  
Vaksoort  master  
Coördinator  dr. C.E.G. Steglich  
Docent(en)  dr. C.E.G. Steglich  
Verplichte literatuur 


Entreevoorwaarden  Participants should have a basic understanding of statistical principles (bachelor level statistics) and data analysis in the R statistical software environment. Prior knowledge of social networks is of advantage, but not required.  
Opmerkingen  You can acquire the book as an ebook. We will not cover everything in it, just the datahandling and statistical inference aspects.  
Opgenomen in 
