<｜begin▁of▁sentence｜>### Instruction:
Given the Political blogs Graph which you can read from a gml file named polblogs.gml, can you use the Louvain method in cdlib to perform community detection? And can you compute the flake ODF (Out Degree Fraction), which is the fraction of nodes in each community that have fewer edges pointing inside the community than to the outside?
### Response:
import networkx as nx
from cdlib import algorithms, evaluation

# Read the graph
G = nx.read_gml('polblogs.gml')

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

# Compute the flake ODF (Out Degree Fraction)
flake_out_degree_fraction = evaluation.flake_odf(G, communities)

# Print the flake ODF
print(flake_out_degree_fraction)
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