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 0.00834 0.0152 0.0248 1
#> 2 cohesion 0.973 0.812 0.0138 0.0124 0.0265 0
#> 3 consens… 0.918 2.67 0.0351 0.0125 0.0383 30
#> 4 coregul… 0.977 0.567 0.0155 0.0150 0.0210 0
#> 5 discuss 0.805 1.19 0.0196 0.0131 0.0271 16
#> 6 emotion 0.923 0.894 0.0141 0.0121 0.0231 5
#> 7 monitor 0.982 0.346 0.00758 0.0137 0.0193 0
#> 8 plan 0.626 1.19 0.0274 0.0115 0.0274 9
#> 9 synthes… 1 0.192 0.00997 0.0158 0.0243 7
#> # ℹ 3 more variables: BetweennessRSP <dbl>, Diffusion <dbl>, Clustering <dbl>