Print Centrality Measures
Usage
# S3 method for class 'group_tna_centralities'
print(x, ...)See also
Centrality measure functions
betweenness_network(),
centralities(),
plot.group_tna_centralities(),
plot.tna_centralities(),
print.tna_centralities()
Examples
model <- group_model(engagement_mmm)
cm <- centralities(model)
print(cm)
#> # A tibble: 9 × 12
#> group state OutStrength InStrength ClosenessIn ClosenessOut Closeness
#> * <chr> <fct> <dbl> <dbl> <dbl> <dbl> <dbl>
#> 1 Cluster 1 Disengaged 0.319 0.141 0.0507 0.0798 0.0798
#> 2 Cluster 1 Engaged 0.338 0.283 0.0696 0.0686 0.106
#> 3 Cluster 1 Moderate 0.245 0.479 0.107 0.0612 0.107
#> 4 Cluster 2 Disengaged 0.0888 0.427 0.0855 0.0138 0.0855
#> 5 Cluster 2 Engaged 0.328 0.141 0.0333 0.0189 0.0669
#> 6 Cluster 2 Moderate 0.172 0.0212 0.00902 0.0369 0.0496
#> 7 Cluster 3 Disengaged 0.125 0.244 0.0681 0.0462 0.0689
#> 8 Cluster 3 Engaged 0.335 0.261 0.0638 0.0778 0.0789
#> 9 Cluster 3 Moderate 0.331 0.286 0.0612 0.0821 0.109
#> # ℹ 5 more variables: Betweenness <dbl>, BetweennessRSP <dbl>, Diffusion <dbl>,
#> # Clustering <dbl>, PageRank <dbl>