The 12th Winter School on Longitudinal Social Network Analysis will take place on 8-10 February 2022 in Norrköping, Sweden, followed by a Master Class on 11 February. The combined event is organised at the Institute for Analytical Sociology by Christian Steglich, Anastasia Menshikova and Madelene Töpfer.
We are planning to host the Winter School on site, however, given the circumstances, we are preparing to switch for the virtual or hybrid alternative, if needed. In case of any adjustments to the format, we will inform the applicants as early as possible.
Winter School, February 8-10
The Winter School 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). The 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 the support of Anastasia Menshikova. This is the second time (after 2017) the Winter School will take place in Norrköping. Previous editions took place at the University of Groningen (2005-2015, 2019) ETH Zürich (2016), and online (2021).
Master Class, February 11
The Master Class on Longitudinal Social Network Analysis is an extra day of deepening your experience with longitudinal network modelling. There are two ways how you can make use of this opportunity. On the one hand, we reserve time for consultations about getting your data analysis started, if you bring own data with you and have not yet started analyzing it. On the other hand, it is possible to discuss your work in progress. If you have already started analyzing your data, this is an opportunity to get expert feedback on your preliminary work. Invited discussant will be Tom Snijders and (depending on paper content) maybe others; they might “zoom in” for participating.
The procedure for the Master Class is the following. Participants that would like to actively participate should submit an abstract in which they explain their analysis (or analysis plans). This abstract should be handed in together with the main application for the Winter School. Within one week after the application deadline, authors will be informed about acceptance for the Master Class. For accepted preliminary work, we ask you to submit papers of no more than 12 pages, accompanied by an R-script and (if possible) data, to enable reproducibility of the analysis, by January 21. Participation in the Master Class is optional. If you do not wish to participate in the consultations or paper discussions actively, you can still join the Master Class event as a listener and contribute to the discussions.
Prerequisites and Preparation
Prerequisites for participation are familiarity with basic social network analysis, some knowledge of intermediate statistics, and basic familiarity with the R statistical software environment. We expect the participants to bring their own laptops and install the required software beforehand.
We especially invite researchers who are in the process of collecting or analysing their own longitudinal data sets to participate in the Master Class. For participants without own data, several sample data sets will be made available.
Further information about accommodation in Norrköping and preparation for the course will be made available shortly. If you have questions regarding the contents of the classes, please, address them to Christian Stieglich. The questions regarding the application procedure and the event should be sent to Anastasia Menshikova. Madelene Topfer will be available to discuss payments and accommodation in Norrköping.
We are aiming to have up to 30 participants for the Winter Schools, and up to 5 presenters at the Master Class. For those who register after the maximum number is reached, a waiting list will be created. The deadline for registration is December 17, 2021.
Registration fees depend on your job status, as indicated below:
- Non-academics, academic staff & postdocs - 2300 SEK
- Students & graduate students - 1500 SEK
Fees include course materials, coffee breaks (morning and afternoon), internet access (WiFi), and a joint dinner on Wednesday, February 9th. Hotel accommodation, lunches and other dinners are not included in the registration fee.
The deadline for payment is the 16th of January.
For an overview of earlier Winter Schools on Longitudinal Social Network Analysis, click here