dynamic_triad_closure: Triadic closure for dynamic affiliation networks

Description Usage Arguments See Also Examples

View source: R/dynamic-triad-closure.R

Description

Given an affiliation network with time-stamped events, compute the proportion of centered triples at which an open wedge exists at some time that is closed at a later time.

Usage

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dynamic_triad_closure(graph, actors = V(graph)[V(graph)$type == FALSE],
  type = "global", ..., measure = NULL)

dynamic_triad_closure_an(graph, actors = V(graph)[V(graph)$type == FALSE],
  type = "global", ..., measure = NULL)

dynamic_transitivity_an(graph, actors = V(graph)[V(graph)$type == FALSE],
  type = "global", ..., measure = NULL)

dyn.transitivity.an(graph, actors = V(graph)[V(graph)$type == FALSE],
  type = "global", ..., measure = NULL)

dynamic_triad_closure_projection(graph, memory = Inf, type = "global")

Arguments

graph

An affiliation network with time-stamped events.

actors

A vector of actor nodes in graph.

type

The type of statistic, matched to "global", "local", or "raw".

...

Additional parameters passed to specific functions.

measure

Character; the measure of triad closure, used as the suffix * to triad_closure_*. Matched to "classical" (also "watts_strogatz"), "twomode" (also "opsahl"), "unconnected" (also "liebig_rao_0"), "completely_connected" (also "liebig_rao_3"), "exclusive", or "projection".

memory

Numeric; minimum delay of wedge formation since would-have-been closing events.

See Also

Other triad closure functions: project_transitivity, transitivity_an, triad_closure_from_census, triad_closure

Examples

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corybrunson/bitriad documentation built on May 13, 2019, 10:51 p.m.