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Course on Social Network Analysis with R with Michał Bojanowski (GESIS)

In September GESIS - Leibniz Institute for the Social Sciences GESIS Training organizes its regular and reputable Fall Seminar in Computational Social Science. As a part of that event this year Michał Bojanowski will be offering an intensive 5-day in-person course on Social Network Analysis with R #rstats . The course is designed for researchers looking to extend their knowledge and skills in empirical research to network-related problems and analyzing network data, and to network researchers intending to learn doing Social Network Analysis in R. The program will cover typical stages of network analysis study, namely: importing network data, network data management and transformation, visualization, network structure descriptives (such as components, cliques, communities, homophily, segregation), and elements of statistical network analysis (such as hypothesis testing, ERGM, SAOM). The organization of the course facilitates gaining practical skills with morning sessions dedicated to lecture/demonstration and afternoon sessions dedicated to practical exercises and hands-on case studies. Participants are encouraged, but not required, to bring their own data.

Registrations are open! Details and links below.

When: September 25-29, 2023 Where: GESIS Mannheim, Germany Details of the course: Details of the GESIS Fall Seminar:

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