<｜begin▁of▁sentence｜>### Instruction:
As a Cruise Director, imagine you are organizing activities for passengers on a cruise ship. You have access to the 'Les Miserables' graph, which represents the social interactions among the passengers. You are looking to use the Louvain method from CDLib, a popular library for community detection on networks, to analyze the social groups among the passengers. Additionally, you need to compute the conductance, which measures the fraction of total edge volume that points outside the communities. How would you integrate these analyses into creating entertaining and engaging activities for the passengers?
### Response:
import networkx as nx
from cdlib import algorithms, evaluation

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

# Use the Louvain method for community detection
communities = algorithms.louvain(G)

# Compute the conductance of the detected communities
conductance_score = evaluation.conductance(G, communities)

# Print the conductance
print(conductance_score)
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