global_CI {aniSNA}

To obtain confidence intervals around the observed global network statistics

Description

To obtain confidence intervals around the observed global network statistics

Usage

global_CI(
  network,
  n_versions = 100,
  network_metrics_functions_list = c(edge_density = function(x) igraph::edge_density(x),
    diameter = function(x) igraph::diameter(x, weights = NA), transitivity = function(x)
    igraph::transitivity(x)),
  CI_size = 0.95
)

Arguments

network

An igraph object consisting of observed network.

n_versions

Number of bootstrapped versions to be used. (default = 100)

network_metrics_functions_list

A list consisting of function definitions of the network metrics that the user wants to evaluate. Each element in the list should have an assigned name. Default = c("edge_density" = function(x) igraph::edge_density(x), "diameter" = function(x) igraph::diameter(x, weights = NA), "transitivity" = function(x) igraph::transitivity(x))

CI_size

Size of confidence interval. Default is 0.95 that generates a 95% confidence interval.

Value

A DataFrame consisting of three columns. The first column contains the value of observed network metric, the second and third column represent the lower and upper limit of 95

Examples

data(elk_network_2010)
global_CI(elk_network_2010, n_versions = 100, 
network_metrics_functions_list = c("edge_density" = function(x) igraph::edge_density(x),
"diameter" = function(x) igraph::diameter(x, weights = NA),
"transitivity" = function(x) igraph::transitivity(x)))