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Degree Sequence#
Random graph from given degree sequence.
True
Configuration model
Degree sequence [5, 3, 3, 3, 3, 2, 2, 2, 1, 1, 1]
Degree histogram
degree #nodes
5 1
3 4
2 3
1 3
import matplotlib.pyplot as plt
import networkx as nx
# Specify seed for reproducibility
seed = 668273
z = [5, 3, 3, 3, 3, 2, 2, 2, 1, 1, 1]
print(nx.is_graphical(z))
print("Configuration model")
G = nx.configuration_model(
z, seed=seed
) # configuration model, seed for reproducibility
degree_sequence = [d for n, d in G.degree()] # degree sequence
print(f"Degree sequence {degree_sequence}")
print("Degree histogram")
hist = {}
for d in degree_sequence:
if d in hist:
hist[d] += 1
else:
hist[d] = 1
print("degree #nodes")
for d in hist:
print(f"{d:4} {hist[d]:6}")
pos = nx.spring_layout(G, seed=seed) # Seed layout for reproducibility
nx.draw(G, pos=pos)
plt.show()
Total running time of the script: (0 minutes 0.082 seconds)