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 4.14 7.14 7.29
#> 2 Cluster 1 Average 0.458 0.251 4.42 2.95 4.42
#> 3 Cluster 1 Disengaged 0.210 0.197 5.08 5.40 5.40
#> 4 Cluster 2 Active 0.159 0.248 4.03 1.68 4.03
#> 5 Cluster 2 Average 0.370 0.670 2.11 2.7 2.93
#> 6 Cluster 2 Disengaged 0.667 0.278 1.40 2.13 2.48
#> 7 Cluster 3 Active 0.417 0.153 1.10 3.6 3.6
#> 8 Cluster 3 Average 0.181 0.725 1.38 5.54 6.55
#> 9 Cluster 3 Disengaged 0.6 0.319 5.54 0.739 5.54
#> # ℹ 4 more variables: Betweenness <dbl>, BetweennessRSP <dbl>, Diffusion <dbl>,
#> # Clustering <dbl>