<｜begin▁of▁sentence｜>### Instruction:
Given the social network graph of books about US politics, which you can read from a GML file named polbooks.gml, can you use the Louvain algorithm to perform community detection, and then compute the Z-modularity to evaluate the detected community structure? The Z-modularity is a variant of the standard modularity designed to overcome the resolution limit problem. Notes: You need to print the Z-modularity score.
### Response:
import networkx as nx
from cdlib import algorithms, evaluation

# Load a graph
G = nx.read_gml('polbooks.gml')

# Detect communities using the Louvain algorithm
communities = algorithms.louvain(G)

# Evaluate the Z-modularity of the detected community structure
z_modularity_score = evaluation.z_modularity(G, communities)

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