Compare Two Networks — compare

This function compares two networks using summary metrics, degree distributions, and topological similarity measures. It overlays the complementary cumulative frequency distributions (CCDFs) of degree and returns a combined report.

Usage

compare_networks(
  graph1,
  graph2,
  remove_singles = FALSE,
  show_PL = TRUE,
  PL_exponents = c(2, 3),
  colors = c("#e41a1c", "#000831", "#9c52f2", "#b8b8ff"),
  label.size = 12
)

Arguments

graph1: An igraph object or data.frame (edge list).
graph2: An igraph object or data.frame (edge list).
remove_singles: Logical; remove single nodes before analysis.
show_PL: Logical; whether to fit and display power law exponents.
PL_exponents: Vector; power-law slopes to show.
colors: Optional vector of colors for the CCDF plot.
label.size: Labels' size in the CCDF plot.

Value

A list with:

metrics1: Summary metrics for graph1
metrics2: Summary metrics for graph2
CCDF_plot: ggplot overlay of ccdfs
jaccard_similarity: Jaccard index of edge sets
node_overlap: Fraction of shared nodes
edge_overlap: Fraction of shared edges
ks_test: KS test result for degree distributions

Examples

if (FALSE) { # \dontrun{
library(igraph)
g1 <- sample_pa(100)
g2 <- sample_gnp(100, 0.05, directed = F)
compare_networks(g1, g2)
} # }