Statistical models for social network analysis, Pädagogische Hochschule FHNW

Statistical models for social networks have become widely used in social science research in the past decades. This course aims to provide an introduction to popular statistical methods for social network analysis and to enable participants to use these in their own research. Following a general introduction to network modelling and some key methods (e. g, MRQAP, ERGM), the course will focus on studying network dynamics using Stochastic Actor-oriented Models (SAOMs). The course will demonstrate how the covered methods can be flexibly applied across different social settings to answer a wide range of research questions.

By the end of the course, participants will be able to:

• discuss why network data requires different statistical methods to be analysed than non-network (‹individual›) data
• intuitively understand popular statistical methods for analysing social networks, such as the MRQAP, ERGM, and SAOM
• apply these methods on empirical data using R

The course is delivered as a combination of short lectures, practical demonstrations, and individual exercises. Each method will first be presented through examples and basic principles. This will be followed by a developed example application in R that will be presented by the lecturer. Finally, participants will get the opportunity to try out and/or practice each method on their own, using either the examples provided or their own dataset.

Mi, 3.6.2026, 8.45–16.30 Uhr
Do, 4.6.2026, 8.45–16.30 Uhr
Fr, 5.6.2026, 8.45–16.30 Uhr

Brugg-Windisch

• Dr. András Vörös, Associate Professor (School of Social Policy and Society, University of Birmingham)

• Dozierende an Hochschulen
• Mitarbeitende an Hochschulen

The course will focus on developing practical skills and intuition, with pointers for those who wish to dig deeper in statistical/computational details. Because of this, the course can be useful for anyone with the following background:

• some familiarity with the R programming language
• basic knowledge of social network analysis concepts and descriptive methods
• applied understanding of the ideas behind statistical testing and regression models

Participants are welcome to bring their own data and research questions to the workshop. There will be opportunity to work on these, ask questions, and troubleshoot models.

CHF 400

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