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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 2024 workshop edition will be Christian Steglich and Tom Snijders. We organise the event with secretarial support by Anita van der Hoek. The two workshop modules that can be registered for independently are these:
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The 14th Winter School on Longitudinal Social Network Analysis will take place 22-24 January 2024 (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.
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The AdSUM-2024 Advanced Siena Users meeting will take place on 25-26 January 2024 (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 1 December 2023. Authors will be informed about acceptance within two weeks, i.e., until 15 December. For accepted abstracts, the authors are expected to submit papers for discussion by 8 January 2024. The papers should have a length of maximally 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.
The workshops will take place "in-person" at the University of Groningen, The Netherlands. If there are a sufficient number of interested people, there is the possibility to offer an additional online version of the course for the U.S. time zone later in February or March! If interested, please let us know by sending an e-mail to a.van.der.hoek@rug.nl.
Prerequisites for participation in the Winter School part 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. For participation in the AdSUM part, prerequisites are experience with using RSiena, current own work using RSiena or plans for the near future.
You can register for these courses 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.
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job status |
Winter School |
AdSUM |
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Non-academics, academic staff & postdocs |
250 |
170 |
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Students & graduate students |
175 |
120 |
Fees include course materials, coffee breaks (morning and afternoon), a joint dinner on the Wednesday, 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 in the workshop event(s), please fill in the registration form (CLICK HERE) no later than 1 December 2023. 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.
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