SOCIOL 280
Analysis of Social Network Data
Overview and application of methods for analyzing social network data. Topics include: data structures, visualization, graph theory, centrality, subgroups, positions, blockmodels, local properties, and statistical models. Social network analysis software is used to analyze a range of examples.
Topics
- data structures
- visualization
- graph theory
- centrality
- subgroups
- positions
- blockmodels
- local properties
- and statistical models
Topics explicitly listed in official catalogue description
Prerequisites & course information
Overview and application of methods for analyzing social network data. Topics include: data structures, visualization, graph theory, centrality, subgroups, positions, blockmodels, local properties, and statistical models. Social network analysis software is used to analyze a range of examples.
Sources
- Course catalogue ↗2026-2027