Expected Degree Sequence

Random graph from given degree sequence.

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 ( 0)
31 ( 0)
32 ( 2) **
33 ( 2) **
34 ( 2) **
35 ( 2) **
36 ( 4) ****
37 (11) ***********
38 ( 3) ***
39 (10) **********
40 ( 4) ****
41 (11) ***********
42 ( 8) ********
43 (16) ****************
44 (24) ************************
45 (20) ********************
46 (16) ****************
47 (29) *****************************
48 (39) ***************************************
49 (25) *************************
50 (28) ****************************
51 (32) ********************************
52 (27) ***************************
53 (33) *********************************
54 (24) ************************
55 (16) ****************
56 (24) ************************
57 (18) ******************
58 (16) ****************
59 (11) ***********
60 ( 8) ********
61 ( 6) ******
62 ( 7) *******
63 ( 4) ****
64 ( 8) ********
65 ( 3) ***
66 ( 1) *
67 ( 3) ***
68 ( 1) *
69 ( 2) **

import networkx as nx

# 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 = nx.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}")