The course introduces students to (meta)theoretical assumptions and methodological apparatus of social network analysis. Each class consist of lecture which introduces theoretical background and “mechanics” of a given concept or method, and a workshop where students use this knowledge through practical tasks.
The beginning of the course introduces software used for data analysis and graphics. Students will be familiarized with basic data formats, functions, and data manipulation techniques utilized later in the course. The core of the course then focuses on basic concepts such as connectedness, centrality, or cohesiveness. The last part of the course presents exploratory as well as inferential approaches to network data analysis.
Upon successful completion of the course students will be able to set-up SNA-defined research design, specify appropriate techniques and rigorously use them. The emphasis will be put on practical use of this knowledge.