Expected Degree SequenceΒΆ

Random graph from given degree sequence.

Out:

Degree histogram
degree (#nodes) ****
 0 ( 0)
 1 ( 0)
 2 ( 0)
 3 ( 0)
 4 ( 0)
 5 ( 0)
 6 ( 0)
 7 ( 0)
 8 ( 0)
 9 ( 0)
10 ( 0)
11 ( 0)
12 ( 0)
13 ( 0)
14 ( 0)
15 ( 0)
16 ( 0)
17 ( 0)
18 ( 0)
19 ( 0)
20 ( 0)
21 ( 0)
22 ( 0)
23 ( 0)
24 ( 0)
25 ( 0)
26 ( 0)
27 ( 0)
28 ( 0)
29 ( 0)
30 ( 1) *
31 ( 0)
32 ( 2) **
33 ( 1) *
34 ( 2) **
35 ( 3) ***
36 ( 3) ***
37 ( 3) ***
38 ( 7) *******
39 ( 7) *******
40 ( 8) ********
41 (15) ***************
42 (13) *************
43 (12) ************
44 (13) *************
45 (15) ***************
46 (22) **********************
47 (24) ************************
48 (24) ************************
49 (29) *****************************
50 (35) ***********************************
51 (34) **********************************
52 (29) *****************************
53 (32) ********************************
54 (29) *****************************
55 (24) ************************
56 (20) ********************
57 (19) *******************
58 (15) ***************
59 (13) *************
60 (13) *************
61 ( 9) *********
62 ( 8) ********
63 ( 9) *********
64 ( 1) *
65 ( 2) **
66 ( 1) *
67 ( 0)
68 ( 0)
69 ( 1) *
70 ( 1) *
71 ( 0)
72 ( 0)
73 ( 0)
74 ( 1) *

import networkx as nx
from networkx.generators.degree_seq import expected_degree_graph

# make a random graph of 500 nodes with expected degrees of 50
n = 500  # n nodes
p = 0.1
w = [p * n for i in range(n)]  # w = p*n for all nodes
G = expected_degree_graph(w)  # configuration model
print("Degree histogram")
print("degree (#nodes) ****")
dh = nx.degree_histogram(G)
for i, d in enumerate(dh):
    print(f"{i:2} ({d:2}) {'*'*d}")

Total running time of the script: ( 0 minutes 0.079 seconds)

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