The University of Groningen's Department of Sociology is again offering its twin workshops on longitudinal social network analysis focused around the RSiena software. Organisers of the 2019 workshop edition are Christian Steglich and Robert Krause. The two workshop modules that can be registered for independently are:
For both modules, researchers who are in the process of collecting or analysing own longitudinal data sets are especially welcome to participate and, if possible, bring their own data. For participants without own data, sample data sets will be made available.
The The 10th Winter School on Longitudinal Social Network Analysis will take place 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. The Winter School will be taught by Christian Steglich with support by Robert Krause. Participation in this introductory module should be sufficient preparation for following the advanced one.
The AdSUM-2019 Advanced Siena Users meeting will take place on Thursday and Friday. It will on the one hand address advanced topics and introduce to new developments in RSiena, such as the multilevel analysis of multi-group data with the help of random effects models instantiated in the sienaBayes function. Teacher of this part is Tom Snijders. 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 before 10th of December. Within one week after this deadline, authors will be informed about acceptance. For accepted abstracts, the authors are expected to submit papers for discussion until 1st of January. The papers should have a length of no more than 12 pages, and be accompanied with an R-script and data, so the analysis can be reproduced. Paper discussants will include Tom Snijders and Christian Steglich.
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 by filling in the registration form (see link at the bottom of this page). The maximum number of participants per course module is 30; 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
Fees include course materials, coffee breaks (morning and afternoon), and internet access (WiFi). Participants are expected to bring their own computer for lab exercises. Hotel accommodation, lunches and dinners are not included in the registration fee.
If you want to participate, please fill in the registration form (CLICK HERE) and return it by e-mail to Robert Krause (firstname.lastname@example.org) no later than December 10, 2018. Further information about accommodation in Groningen and preparation for the course will be made available shortly.
For an overview of earlier Winter Schools on Longitudinal Social Network Analysis, click here.