1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
|
"""
===========
Erdos Renyi
===========
Create an G{n,m} random graph with n nodes and m edges
and report some properties.
This graph is sometimes called the Erdős-Rényi graph
but is different from G{n,p} or binomial_graph which is also
sometimes called the Erdős-Rényi graph.
"""
import matplotlib.pyplot as plt
from networkx import nx
n = 10 # 10 nodes
m = 20 # 20 edges
G = nx.gnm_random_graph(n, m)
# some properties
print("node degree clustering")
for v in nx.nodes(G):
print(f"{v} {nx.degree(G, v)} {nx.clustering(G, v)}")
print()
print("the adjacency list")
for line in nx.generate_adjlist(G):
print(line)
nx.draw(G)
plt.show()
|
