degreeMax: degreeMax

In remstats: Computes Statistics for Relational Event History Data

degreeMax

Description

Specifies the statistic for an 'degreeMax' effect in the tie-oriented model with undirected events.

Usage

degreeMax(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 two times 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).

Details

An degreeMax effect refers to the tendency for dyads to increase their interaction rate if the total degree of the most active actor in the pair increases. The statistic at timepoint t for dyad (i,j) is equal to the maximum of the following two values: the number of events before timepoint t that involved actor i and actor j, respectively. Note that the degreeMax effect is only defined for undirected 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 the most active actor was involved in. At the first time point, when no events did previously occur, it is assumed that every actor is equally likely to be involved in an event and the statistic is set equal to 1/n, where n refers to the number of actors.

Value

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

See Also

degreeDiff, degreeMin or totaldegreeDyad for other types of degree effects for undirected events.

Examples

reh_tie <- remify::remify(history, model = "tie", directed = FALSE)
effects <- ~ degreeMax()
remstats(reh = reh_tie, tie_effects = effects)

remstats documentation built on May 29, 2024, 5:21 a.m.