cograph (version 2.0.0)

degree_distribution: Degree Distribution Visualization

Description

Creates a histogram showing the degree distribution of a network. Useful for understanding the connectivity patterns and identifying whether a network follows particular degree distributions (e.g., power-law, normal).

Usage

degree_distribution(
  x,
  mode = "all",
  directed = NULL,
  loops = TRUE,
  simplify = "sum",
  cumulative = FALSE,
  main = "Degree Distribution",
  xlab = "Degree",
  ylab = "Frequency",
  col = "steelblue",
  ...
)

Value

Invisibly returns the histogram object from graphics::hist().

Arguments

x

Network input: matrix, igraph, network, cograph_network, or tna object

mode

For directed networks: "all", "in", or "out". Default "all".

directed

Logical or NULL. If NULL (default), auto-detect from matrix symmetry. Set TRUE to force directed, FALSE to force undirected.

loops

Logical. If TRUE (default), keep self-loops. Set FALSE to remove them.

simplify

How to combine multiple edges between the same node pair. Options: "sum" (default), "mean", "max", "min", or FALSE/"none" to keep multiple edges.

cumulative

Logical. If TRUE, show cumulative distribution instead of frequency distribution. Default FALSE.

main

Character. Plot title. Default "Degree Distribution".

xlab

Character. X-axis label. Default "Degree".

ylab

Character. Y-axis label. Default "Frequency" (or "Cumulative Frequency" if cumulative = TRUE).

col

Character. Bar fill color. Default "steelblue".

...

Additional arguments passed to hist.

Examples

# Basic usage
adj <- matrix(c(0, 1, 1, 0,
                1, 0, 1, 1,
                1, 1, 0, 1,
                0, 1, 1, 0), 4, 4, byrow = TRUE)
cograph::degree_distribution(adj)

# Cumulative distribution
cograph::degree_distribution(adj, cumulative = TRUE)

# For directed networks
directed_adj <- matrix(c(0, 1, 0, 0,
                         0, 0, 1, 0,
                         1, 0, 0, 1,
                         0, 1, 0, 0), 4, 4, byrow = TRUE)
cograph::degree_distribution(directed_adj, mode = "in",
  main = "In-Degree Distribution")

# With igraph
if (requireNamespace("igraph", quietly = TRUE)) {
  g <- igraph::erdos.renyi.game(100, 0.1)
  cograph::degree_distribution(g, col = "coral")
}