Print Centrality Measures
Usage
# S3 method for class 'tna_centralities'
print(x, ...)See also
Centrality measure functions
betweenness_network(),
centralities(),
plot.group_tna_centralities(),
plot.tna_centralities(),
print.group_tna_centralities()
Examples
model <- tna(group_regulation)
cm <- centralities(model)
print(cm)
#> # A tibble: 9 × 10
#> state OutStrength InStrength ClosenessIn ClosenessOut Closeness Betweenness
#> * <fct> <dbl> <dbl> <dbl> <dbl> <dbl> <dbl>
#> 1 adapt 1 0.345 13.4 2.33 18.5 17
#> 2 cohesion 0.973 0.812 3.65 2.79 13.8 0
#> 3 consens… 0.918 2.67 0.798 4.34 11.5 0
#> 4 coregul… 0.977 0.567 4.55 2.31 5.97 5
#> 5 discuss 0.805 1.19 1.95 2.68 7.31 0
#> 6 emotion 0.923 0.894 1.57 3.13 14.5 0
#> 7 monitor 0.982 0.346 6.24 2.21 7.76 3
#> 8 plan 0.626 1.19 5.47 2.91 17.6 10
#> 9 synthes… 1 0.192 12.3 2.18 15.9 14
#> # ℹ 3 more variables: BetweennessRSP <dbl>, Diffusion <dbl>, Clustering <dbl>