<｜begin▁of▁sentence｜>### Instruction:
Given the social network graph of characters from the novel Les Miserables, represented in a GML file named 'lesmis.gml', can you perform community detection using the Louvain method and compute the Maximum Out Degree Fraction (max_odf) to assess the fraction of a node's edges that point outside its community, as a measure of community boundaries?
### 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 algorithm
communities = algorithms.louvain(G)

# Calculate the Maximum Out Degree Fraction (max_odf) for the detected communities
max_odf_value = evaluation.max_odf(G, communities)

# Print the max_odf value
print(max_odf_value)
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