Print Method for htna Stability Groups

S3 method for printing grouped htna stability results.

Usage

# S3 method for class 'htna_stability_group'
print(x, ...)

Arguments

x

An object of class htna_stability_group from centrality_stability_htna().

...

Additional arguments passed to the print method.

Value

Invisibly returns the object, prints group stability information.

Examples

# \donttest{
data(human_ai)
grp <- build_htna(human_ai, actor_type = "actor_type", group = "phase")
#> Warning: A network with one long sequence is not recommended and can't be validated using bootstrap and other confirmatory testings.
#> Metadata aggregated per session: ties resolved by first occurrence in 'cluster' (24 sessions), 'actor_type' (9 sessions)
#> Warning: A network with one long sequence is not recommended and can't be validated using bootstrap and other confirmatory testings.
#> Metadata aggregated per session: ties resolved by first occurrence in 'session_date' (1 sessions), 'cluster' (18 sessions), 'actor_type' (15 sessions)
cs  <- centrality_stability_htna(grp, iter = 20, seed = 1)
print(cs)
#> HTNA Centrality Stability Analysis (Grouped)
#> ============================================
#> 
#> --- Group: Late ---
#> HTNA Centrality Stability Analysis
#> ===================================
#> Centrality Stability (20 iterations, threshold = 0.7)
#>   Drop proportions: 0.1, 0.2, 0.3, 0.4, 0.5, 0.6, 0.7, 0.8, 0.9
#> 
#>   CS-coefficients:
#>     InStrength       0.90
#>     OutStrength      0.90
#>     Betweenness      0.70
#> 
#> --- Group: Early ---
#> HTNA Centrality Stability Analysis
#> ===================================
#> Centrality Stability (20 iterations, threshold = 0.7)
#>   Drop proportions: 0.1, 0.2, 0.3, 0.4, 0.5, 0.6, 0.7, 0.8, 0.9
#> 
#>   CS-coefficients:
#>     InStrength       0.90
#>     OutStrength      0.90
#>     Betweenness      0.70
# }