Summarise modality communities in a catmodgraph

Summarises the structure of communities detected in a catmodgraph object. The output reports which modalities belong to each community, which variables contribute to each community, and the internal edge cohesion. This is descriptive output for interpreting the community structure of a modality co-association graph.

Usage

summarise_modality_communities(x)

Arguments

x

A catmodgraph object that has already been processed by cluster_modalities().

Value

A list of class "catmodcommunity" with components:

community_summary

Data frame with one row per modality community, reporting size, variables represented, and mean internal edge weight.

community_members

Data frame listing all modality nodes and their assigned community.

variable_composition

Table of variable counts by community, useful for seeing which variables span which communities.

Details

Communities are interpreted as groups of modalities (factor levels) that co-associate across different variables, not as respondent segments or latent classes. For respondent-level segmentation, use the poLCA or FactoMineR packages.

Examples

df <- expand_table(Titanic)
mg <- build_modality_graph(df)
mg <- cluster_modalities(mg)
comm <- summarise_modality_communities(mg)
comm
#> catmodcommunity object
#>   Modality communities: 2 
#>   Community sizes     : 6, 4