<｜begin▁of▁sentence｜>### Instruction:
Given the American College football network, which can be loaded from a GML file named football.gml, can you use the Louvain method from cdlib to detect communities within the network and compute the significance score to estimate how likely it is that such a partition of dense communities could appear in a random graph?
### Response:
import networkx as nx
from cdlib import algorithms, evaluation

# Load the American College football network
G = nx.read_gml('football.gml')

# Perform community detection using the Louvain method
communities = algorithms.louvain(G)

# Compute the significance of the identified community structure
significance_score = evaluation.significance(G, communities)

# Print the significance score of the community structure
print(significance_score)
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