centrality_duo_plot: Dual Centrality Plot

In InterconectaR: Psychological Network Analysis and Psychometric Insights

Dual Centrality Plot

Description

Creates a plot comparing two centrality measures.

Usage

centrality_duo_plot(
  qgraph_obj,
  network,
  groups = NULL,
  measure0 = "ExpectedInfluence",
  measure1 = NULL,
  color_palette = c("#6C5CE7", "#00B894"),
  use_abbrev = TRUE,
  labels = NULL
)

Arguments

qgraph_obj	A qgraph object.
network	Estimated network object (e.g., from bootnet).
groups	List of communities for bridge calculation.
measure0	Primary centrality measure name.
measure1	Secondary bridge measure name (NULL for single measure).
color_palette	Character vector of colors.
use_abbrev	Logical; use abbreviated node names.
labels	Optional character vector of custom node labels.

Value

A list with table (a data frame with the centrality values of each node) and plot (a ggplot object).

Examples

set.seed(123)
n <- 300
f1 <- rnorm(n)
f2 <- 0.3 * f1 + rnorm(n)
items <- data.frame(
  sapply(1:4, function(i) 0.7 * f1 + rnorm(n, 0, 0.7)),
  sapply(1:4, function(i) 0.7 * f2 + rnorm(n, 0, 0.7))
)
names(items) <- c(paste0("A", 1:4), paste0("B", 1:4))

net <- bootnet::estimateNetwork(items, default = "EBICglasso")
g <- qgraph::qgraph(net$graph, DoNotPlot = TRUE)
res <- centrality_duo_plot(g, net,
                           groups = rep(c("A", "B"), each = 4),
                           measure1 = "Bridge Expected Influence (1-step)")
res$plot

InterconectaR documentation built on Oct. 16, 2026, 1:06 a.m.