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 × 11
#> group state OutStrength InStrength ClosenessIn ClosenessOut Closeness
#> * <chr> <fct> <dbl> <dbl> <dbl> <dbl> <dbl>
#> 1 Cluster 1 Active 0.294 0.847 1.44 1.63 1.63
#> 2 Cluster 1 Average 0.540 0.675 1.48 2.58 3.12
#> 3 Cluster 1 Disengaged 0.714 0.0268 2.88 1.4 2.88
#> 4 Cluster 2 Active 0.508 0.658 1.52 1.97 4.54
#> 5 Cluster 2 Average 0.414 1.02 0.985 2.42 4.10
#> 6 Cluster 2 Disengaged 0.907 0.155 6.47 1.10 6.47
#> 7 Cluster 3 Active 0.699 0.225 4.44 1.53 4.44
#> 8 Cluster 3 Average 0.427 1.08 0.968 2.44 2.60
#> 9 Cluster 3 Disengaged 0.537 0.359 2.93 1.86 3.44
#> # ℹ 4 more variables: Betweenness <dbl>, BetweennessRSP <dbl>, Diffusion <dbl>,
#> # Clustering <dbl>