Social Network Analysis with R


By Michał Bojanowski in workshop

June 22, 2023


An intensive 5-day workshop on social network analysis with R going through concepts, methods and practice of social network analysis: network data, descriptive analysis and elements of statistical modeling.


September 25 – 29, 2023


9:00 AM – 4:00 PM


Mannheim, Germany


The course will provide a hands-on tour through the important concepts and methods of Social Network Analysis (SNA). The main goal is to put the participants on a well-lit road towards conducting a typical social-network-analytic project comfortably on their own using R. The focus is on the practical application of key ideas of SNA rather than discussing (social) theories standing behind them. Nonetheless, pointers to the relevant theoretical and applied literature will be provided.

To this end, the course will discuss importing network data from various formats, managing network data within R, basic SNA descriptives (including density, transitivity, homophily/segregation, and centrality), community detection, and creating effective network visualizations. The course will conclude with coverage of the basics of statistical modeling of networks with Exponential-family Random Graph Models (ERGM) and Stochastic Actor-Oriented Models (SAOM).

Course meetings will consist of two parts. The first part will consist of a presentation, demonstration, and discussions on various SNA concepts and methods. The second part will be focused on hands-on training in applying the presented concepts and tools using real data. While the instructors will provide datasets for these exercises, participants are encouraged to bring their own data.

picture from the seminar

Posted on:
June 22, 2023
1 minute read, 193 words
See Also:
Network Modeling for Empirically-Oriented ABMs
Automated Name Selection for the Network Scale-up Method
Egocentric Network Data Analysis with ERGMs at Sunbelt 2023