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Specifies the statistic for an `outdegreeReceiver` effect in the tie-oriented model or the receiver choice step of the actor-oriented model.

Usage

outdegreeReceiver(scaling = c("none", "prop", "std"), consider_type = TRUE)

Arguments

scaling

the method for scaling the degree statistic. Default is to not scale the statistic (scaling = "none"). Alternatively, scaling of the raw degree counts by the number of past events at time t can be requested with 'prop' or standardization of the raw degree counts 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).

Value

List with all information required by `remstats::remstats()` to compute the statistic.

Details

An outdegree of the receiver effect refers to the tendency for actors to receive events if they have send more past events. The statistic at timepoint t for dyad (i,j) (tie-oriented model) or receiver j (actor-oriented model) is equal to the number of events send by actor j before timepoint t. Note that the 'outdegreeReceiver' effect is only defined for directed events.

Optionally, a scaling method can be set with scaling. By scaling the degree count by the total number of past events, the statistic refers to the fraction of past events that were send by actor j. At the first time point, when no events did previously occur, it is assumed that every actor is equally likely to receive a message and the statistic is set equal to 1/n, where n refers to the number of actors.

See also

Examples

reh_tie <- remify::remify(history, model = "tie")
effects <- ~ outdegreeReceiver()
remstats(reh = reh_tie, tie_effects = effects)
#> Relational Event Network Statistics
#> > Model: tie-oriented
#> > Computation method: per time point
#> > Dimensions: 115 time points x 90 dyads x 2 statistics
#> > Statistics:
#> 	 >> 1: baseline
#> 	 >> 2: outdegreeReceiver

reh_actor <- remify::remify(history, model = "actor")
remstats(reh = reh_actor, receiver_effects = effects)
#> Relational Event Network Statistics
#> > Model: actor-oriented
#> > Computation method: per time point
#> > Sender model: empty
#> > Receiver model:
#> 	 >> Dimensions: 115 events x 10 actors x 1 statistics
#> 	 >> Statistics:
#> 	 	 >>> 1: outdegreeReceiver