cliques: Identify Cliques in a Transition Network

In tna: Transition Network Analysis (TNA)

Identify Cliques in a Transition Network

Description

This function identifies cliques of a specified size in a transition network. It searches for cliques, i.e., complete subgraphs where every pair of nodes is connected, of size n in the transition matrix for the specified cluster in the tna object.

Usage

cliques(x, ...)

## S3 method for class 'tna'
cliques(x, size = 2, threshold = 0, sum_weights = FALSE, ...)

## S3 method for class 'group_tna'
cliques(x, size = 2, threshold = 0, sum_weights = FALSE, ...)

Arguments

x	A tna or a group_tna object.
...	Ignored.
size	An integer specifying the size of the cliques to identify. Defaults to 2 (dyads).
threshold	A numeric value that sets the minimum edge weight for an edge to be considered in the clique. Edges below this value are ignored. Defaults to 0.
sum_weights	A logical value specifying whether the sum of the weights should be above the threshold instead of individual weights of the directed edges. Defaults to FALSE.

Value

A tna_cliques object which is a list of two elements:

• weights is a matrix of the edge weights in the clique.

• inits is a numeric vector of initial weights for the clique.

If x is a group_tna object, a group_tna_cliques object is returned instead, which is a list or tna_cliques objects.

See Also

Clique-related functions plot.group_tna_cliques(), plot.tna_cliques(), print.group_tna_cliques(), print.tna_cliques()

Examples

model <- tna(group_regulation)

# Find  2-cliques (dyads)
cliq <- cliques(model, size = 2)

model <- group_tna(engagement_mmm)
cliques(model)

tna documentation built on Nov. 5, 2025, 7:14 p.m.