plot_degree_correlation: Plot Degree-Degree Correlation

In cograph: Analysis and Visualization of Complex Networks

Plot Degree-Degree Correlation

Description

Scatter plot of each node's degree against the average degree of its neighbors. Reveals assortative (positive slope) or disassortative (negative slope) mixing patterns.

Usage

plot_degree_correlation(
  x,
  mode = "all",
  directed = NULL,
  col = "steelblue",
  main = "Degree-Degree Correlation",
  ...
)

Arguments

x	Network input: matrix, igraph, network, cograph_network, or tna.
mode	Character. For directed networks: "all", "in", or "out". Default "all".
directed	Logical or NULL. Default NULL (auto-detect).
col	Point color. Default "steelblue".
main	Title. Default "Degree-Degree Correlation".
...	Additional arguments passed to plot.

Value

Invisibly returns a data frame with columns node, degree, avg_neighbor_degree.

See Also

centrality, degree_distribution, network_summary

Examples

g <- igraph::sample_pa(100, m = 3, directed = FALSE)
cograph::plot_degree_correlation(g)

cograph documentation built on May 31, 2026, 5:06 p.m.