Specifies the statistic for a `degreeDiff` effect in the tie-oriented model.
Usage
degreeDiff(scaling = c("none", "std"), consider_type = TRUE)Arguments
- scaling
the method for scaling the degree statistic. Default is to not scale the statistic (scaling = "none"). Alternatively, standardization of the degree difference per time point can be requested with `std`.
- consider_type
logical, indicates whether to count the degrees separately for each event type (TRUE, default) or sum degrees across different event types (FALSE).
Details
A degreeDiff effect refers to the tendency for dyads to increase their interaction rate if the absolute difference in degree for the two actors in the pair increases. The statistic at timepoint t for dyad (i,j) is equal to the difference between the following two values: the number of events before timepoint t that involved actor i and actor j, respectively. The degreeDiff effect is only defined for undirected events.
See also
degreeMin, degreeMax or
totaldegreeDyad for other types of degree effects for
undirected events.
Examples
reh_tie <- remify::remify(history, model = "tie", directed = FALSE)
effects <- ~ degreeDiff()
remstats(reh = reh_tie, tie_effects = effects)
#> Relational Event Network Statistics
#> > Model: tie-oriented
#> > Computation method: per time point
#> > Dimensions: 115 time points x 45 dyads x 2 statistics
#> > Statistics:
#> >> 1: baseline
#> >> 2: degreeDiff