Relational Event Models (REM)
Create REM data set with dynamic risk sets
Calculate (in/out)-degree statistics
Create event sequence
Calculate four cycle statistics
Calculate inertia statistics
Calculate reciprocity statistics
Fit Relational Event Models (REM)
Calculate similarity statistics
Calculate the time-to-next-event or the time-since-date for a REM data...
Calculate triad statistics
Calculate endogenous network effects in event sequences and fit relational event models (REM): Using network event sequences (where each tie between a sender and a target in a network is time-stamped), REMs can measure how networks form and evolve over time. Endogenous patterns such as popularity effects, inertia, similarities, cycles or triads can be calculated and analyzed over time.