<｜begin▁of▁sentence｜>### Instruction:
Given the 'Les Miserables' social network graph, can you use the Louvain method in cdlib to perform community detection? And can you compute the cut ratio, which represents the fraction of existing edges (out of all possible edges) that leave the community?
### Response:
import networkx as nx
from cdlib import algorithms, evaluation

# Read the 'Les Miserables' graph
G = nx.read_gml('lesmis.gml')

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

# Compute the cut ratio for the detected communities
cut_ratio_value = evaluation.cut_ratio(G, communities)

print(f'Cut ratio of the partition: {cut_ratio_value}')
<|EOT|>
