Note
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Expected Degree Sequence¶
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 ( 0)
31 ( 2) **
32 ( 1) *
33 ( 0)
34 ( 0)
35 ( 2) **
36 ( 7) *******
37 ( 3) ***
38 ( 7) *******
39 ( 8) ********
40 (12) ************
41 ( 9) *********
42 (16) ****************
43 (16) ****************
44 (18) ******************
45 (29) *****************************
46 (23) ***********************
47 (23) ***********************
48 (27) ***************************
49 (36) ************************************
50 (42) ******************************************
51 (32) ********************************
52 (26) **************************
53 (28) ****************************
54 (30) ******************************
55 (16) ****************
56 (17) *****************
57 (22) **********************
58 ( 6) ******
59 ( 6) ******
60 ( 6) ******
61 ( 8) ********
62 ( 8) ********
63 ( 6) ******
64 ( 1) *
65 ( 2) **
66 ( 2) **
67 ( 0)
68 ( 1) *
69 ( 1) *
70 ( 0)
71 ( 0)
72 ( 0)
73 ( 0)
74 ( 0)
75 ( 0)
76 ( 0)
77 ( 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 0.030 seconds)