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Compare Centrality Profiles

Source: R/network_comparison.R
compare_centralities.Rd

Compare centrality measures between two TNA networks using correlation or rank-based methods.

Usage

compare_centralities(
  model1,
  model2,
  measures = c("OutStrength", "InStrength", "Betweenness"),
  method = c("both", "correlation", "rank")
)

Arguments

model1

A TNA model object (the reference/original model).

model2

A TNA model object (the comparison/simulated model).

measures

Character vector. Centrality measures to compare. Options: "OutStrength", "InStrength", "Betweenness", "Closeness", or "all". Default: c("OutStrength", "InStrength", "Betweenness").

method

Character. Comparison method: "correlation" (Pearson), "rank" (Spearman), or "both". Default: "both".

Value

A list containing:

  • correlations: Named list of correlation values by measure.

  • centrality_comparison: Data frame with centrality values for each state.

  • summary: Character summary of the comparison.

Details

Centrality measures are extracted from the TNA model objects using tna::centralities(). The function compares how well the centrality profiles are preserved between the original and simulated/comparison model.

See also

compare_networks() for full network comparison.

Examples

if (FALSE) { # \dontrun{
# Compare centrality profiles between models
comparison <- compare_centralities(model_original, model_simulated)
print(comparison$correlations)
} # }