Note
Click here to download the full example code
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 ( 2) **
32 ( 1) *
33 ( 0)
34 ( 2) **
35 ( 2) **
36 ( 4) ****
37 ( 7) *******
38 ( 4) ****
39 ( 9) *********
40 ( 4) ****
41 ( 8) ********
42 (12) ************
43 (22) **********************
44 (29) *****************************
45 (31) *******************************
46 (20) ********************
47 (32) ********************************
48 (34) **********************************
49 (22) **********************
50 (35) ***********************************
51 (26) **************************
52 (32) ********************************
53 (23) ***********************
54 (28) ****************************
55 (16) ****************
56 (20) ********************
57 (13) *************
58 (18) ******************
59 (10) **********
60 ( 6) ******
61 ( 7) *******
62 ( 4) ****
63 ( 5) *****
64 ( 4) ****
65 ( 0)
66 ( 0)
67 ( 4) ****
68 ( 3) ***
69 ( 1) *
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}")
Total running time of the script: ( 0 minutes 0.036 seconds)