Familiarity with R, and experience with the Statnet packages for
static network analysis (
sna). If new to network analysis with Statnet, the ERGM workshop is strongly
recommended. Previous experience with the Statnet packages for
descriptive analysis of temporal networks (
ndtv) is helpful but not
This workshop and tutorial provide a hands-on introduction to working with temporal network data in Statnet: from exploratory data analysis and visualization to statistical modeling with Temporal Exponential-Family Random Graph Models (TERGMs). TERGMs are a broad, flexible class of models for representing the structure and dynamics observed in temporal networks. They can be used for both estimation from and simulation of dynamic network data. The topics covered in this workshop include:
These methods can be used with both fixed and changing node sets.