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 0.140 0.360 0.0794 0.0342 0.0794
#> 2 Cluster 1 Average 0.458 0.251 0.0575 0.0994 0.107
#> 3 Cluster 1 Disengaged 0.210 0.197 0.0401 0.0642 0.0642
#> 4 Cluster 2 Active 0.159 0.248 0.0608 0.0618 0.0787
#> 5 Cluster 2 Average 0.370 0.670 0.121 0.0734 0.121
#> 6 Cluster 2 Disengaged 0.667 0.278 0.0742 0.119 0.119
#> 7 Cluster 3 Active 0.417 0.153 0.0678 0.117 0.117
#> 8 Cluster 3 Average 0.181 0.725 0.148 0.0605 0.148
#> 9 Cluster 3 Disengaged 0.6 0.319 0.0746 0.101 0.196
#> # ℹ 4 more variables: Betweenness <dbl>, BetweennessRSP <dbl>, Diffusion <dbl>,
#> # Clustering <dbl>