<｜begin▁of▁sentence｜>### Instruction:
As a Cryptocurrency Analyst, you're tasked with examining data to make informed decisions about cryptocurrency investments. Imagine you're analyzing the network of connections between different cryptocurrencies, represented in a file called "crypto_network.gml". Your goal is to apply a community detection method, specifically the Louvain method, using the cdlib library. Once the communities are identified, you need to compute the Z-modularity score to assess the effectiveness of the detected community structure in revealing meaningful clusters within the cryptocurrency network.
### Response:
import networkx as nx
from cdlib import algorithms, evaluation

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

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

# Calculate the Z-modularity
z_mod = evaluation.z_modularity(G, communities)

# Print the Z-modularity score
print(z_mod.score)
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