<｜begin▁of▁sentence｜>### Instruction:
Given the Internet Graph which you can read from a GML file named as-22july06.gml, can you use the Louvain function in cdlib to perform community detection? And can you compute the significance to estimate how likely it is that a partition of dense communities appears in a random graph?
### Response:
import networkx as nx
from cdlib import algorithms, evaluation

# Read the internet graph
G = nx.read_gml('as-22july06.gml')

# Apply the Louvain community detection algorithm
cities = algorithms.louvain(G)

# Compute the significance
sig = evaluation.significance(G, cities)

# Print the significance score
print(sig)
<|EOT|>
