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Identify Cliques in a Transition Network

Source: R/cliques.R
cliques.Rd

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)
#> Cluster 1 :
#> Number of 2-cliques = 3 (weight threshold = 0)
#> Showing 3 cliques starting from clique number 1
#> 
#> Clique 1
#>            Engaged  Moderate
#> Engaged  0.6616424 0.3180873
#> Moderate 0.1242408 0.7551077
#> 
#> Clique 2
#>            Disengaged   Engaged
#> Disengaged 0.68079470 0.1582781
#> Engaged    0.02027027 0.6616424
#> 
#> Clique 3
#>            Disengaged  Moderate
#> Disengaged  0.6807947 0.1609272
#> Moderate    0.1206516 0.7551077
#> 
#> Cluster 2 :
#> Number of 2-cliques = 3 (weight threshold = 0)
#> Showing 3 cliques starting from clique number 1
#> 
#> Clique 1
#>             Engaged   Moderate
#> Engaged  0.67158177 0.02010724
#> Moderate 0.05360444 0.82809612
#> 
#> Clique 2
#>            Disengaged   Engaged
#> Disengaged  0.9112066 0.0877193
#> Engaged     0.3083110 0.6715818
#> 
#> Clique 3
#>            Disengaged    Moderate
#> Disengaged  0.9112066 0.001074114
#> Moderate    0.1182994 0.828096118
#> 
#> Cluster 3 :
#> Number of 2-cliques = 3 (weight threshold = 0)
#> Showing 3 cliques starting from clique number 1
#> 
#> Clique 1
#>            Engaged  Moderate
#> Engaged  0.6652470 0.2722885
#> Moderate 0.1498049 0.6686606
#> 
#> Clique 2
#>            Disengaged   Engaged
#> Disengaged 0.87538657 0.1111515
#> Engaged    0.06246451 0.6652470
#> 
#> Clique 3
#>            Disengaged   Moderate
#> Disengaged  0.8753866 0.01346189
#> Moderate    0.1815345 0.66866060
#>