<｜begin▁of▁sentence｜>### Instruction:
Sure! Consider a scenario in which a logistics company operates a fleet of trucks to transport cargo between different locations. The company uses a graph representation of the adjacencies between various words associated with their transportation routes and operations. They are interested in using the Louvain method in the cdlib library to perform community detection on this graph and calculate the cut ratio to assess the fraction of existing edges leaving the community. The data for this analysis is stored in a GML file named adjnoun.gml. Can you integrate this information into a practical scenario and ask how to achieve this using the cdlib library?
### Response:
import networkx as nx
from cdlib import algorithms, evaluation

# Read the graph from the GML file
G = nx.read_gml('adjnoun.gml')

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

# Calculate the cut ratio of the detected communities
cut_ratio_score = evaluation.cut_ratio(G, communities)

# Print the result
print(cut_ratio_score)
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