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The University of Exeter Centre for Social Networks is offering a 5-day workshop on longitudinal social network analysis focused around the RSiena software. The workshop will take place from March 30th to April 03rd 2020 and will be led by Professors Tom Snijders and Alessandro Lomi.
For further information, please read below or visit our Webpage: http://business-school.exeter.ac.uk/research/centres/ecsn/events/workshop_on_longitudinal_network_analysis_with_rsi/
The workshop is divided in two modules. Participants can register to each module of the workshop independently:
1. The first module of the workshop will take place from Monday March 30th 2020 till Wednesday April 1st 2020. It introduces participants to the analysis of longitudinal, group-centered network data by way of stochastic actor-oriented 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). Its objective is that participants develop an understanding of the models, familiarise themselves with the use of the RSiena package 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.
2. The second module will take place on Thursday April 2nd and Friday April 3rd 2020. It will address advanced topics and will serve as an introduction 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, the analysis of continuous dependent actor variables, and hints for forward model selection obtained from the sienaGOF function. There will also be the opportunity to present and discuss draft papers using RSiena.
For both modules, researchers who are in the process of collecting or analysing their own longitudinal data sets are especially welcome to participate and, if possible, bring their own data. If participants wish to use their own data as example material, this should be communicated in advance with the teachers of the course. For participants without their own data, sample data sets will be made available. For participants of the second module who would like to present a draft paper, this should be communicated with the teachers of the course before February 15. A decision about the suitability will be based on an abstract, and the draft paper should be available by March 15.
Prerequisites for participation are familiarity with basic social network analysis, knowledge of intermediate statistics (including logistic regression analysis), and familiarity with the R statistical software environment.
Professor of Business
Director of Exeter Centre for Social Networks (ECSN)
University of Exeter Business School
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Streatham Court, University of Exeter, Rennes Drive, Exeter, EX4 4PU, UK
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