The University of Groningen's Department of Sociology is again offering its twin workshops on longitudinal social network analysis focused around the RSiena software. Teachers of the 2021 online workshop edition will be Tom Snijders and Christian Steglich. We organise the event with secretarial support by Christine Timmerman. The two workshop modules that can be registered for independently are these:
Note that due to the Corona pandemic, we offer the course online this time!
The 11th Winter School on Longitudinal Social Network Analysis will take place 1-3 February 2021 (Monday till Wednesday). It introduces participants to the analysis of longitudinal, group-centered network data by way of stochastic, actor-based models (Snijders, van de Bunt & Steglich, 2010), and to the analysis of peer influence processes taking place in such dynamically changing networks (Steglich, Snijders & Pearson, 2010).
Objective of the Winter School is that course participants develop an understanding of the models, familiarise themselves with the use of the RSiena software for model estimation, and learn how to tell a good model specification from a bad one. Participation in this introductory module should be sufficient preparation for following the advanced one.
The AdSUM-2021 Advanced Siena Users meeting will take place on 11-12 February 2021 (Thursday and Friday). It will on the one hand address advanced topics and introduce to new developments in RSiena. On the other hand, there will be a Master Class in which papers of participants are discussed. The procedure for the master class is as follows: Abstracts of participants that would like to present a paper can be submitted until 3 January 2021. Within a week after this deadline, authors will be informed about acceptance. For accepted abstracts, the authors are expected to submit papers for discussion until 15 January 2021. The papers should have a length of no more than 10 pages, and be accompanied with an R-script and data, so the analysis can be reproduced.
For both modules, researchers who are in the process of collecting or analysing own longitudinal data sets are especially welcome to participate and, as far as possible, work on their own data. For participants without own data, example data sets will be made available.
Prerequisites for participation are familiarity with basic social network analysis, some knowledge of intermediate statistics (including logistic regression analysis), and basic familiarity with the R statistical software environment.
You can register for these online courses by filling in the registration form (see link at the bottom of this page). The maximum number of participants per course module is 20; for the Master Class, we handle a maximum of five presenters. For those who register after the maximum number is reached, a waiting list will be created.
Registration fees depend on intended participation and job status, as indicated in the following table.
||Non-academics, academic staff & postdocs
||Students & graduate students
If you want to participate in the online event, please fill in the registration form (CLICK HERE) and return it by e-mail to Christine Timmerman (email@example.com) no later than 3 January 2021. Further information about preparation for the course will be made available well in advance of the course.
For an overview of earlier Winter Schools on Longitudinal Social Network Analysis, click here.