Install igraph if needed

install.packages(“igraph”)

library(igraph)

Create a random graph with 100 nodes and 200 edges

set.seed(123) # for reproducibility

g_random <- sample_gnm(n = 100, m = 200, directed = FALSE)

Basic summary

print(g_random)

cat(“Nodes:”, vcount(g_random), “”) cat(“Edges:”, ecount(g_random), “”) cat(“Density:”, edge_density(g_random), “”) cat(“Clustering Coefficient:”, transitivity(g_random, type=“global”), “”)

Visualize the graph

plot(g_random, vertex.size = 5, vertex.label = NA, edge.color = “gray”, layout = layout_with_fr, main = “Random Graph (Erdos-Renyi Model)”)

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