<｜begin▁of▁sentence｜>### Instruction:
Given the Condensed Matter collaborations graph of 2005 which you can read from a GML file named cond-mat-2005.gml, can you perform community detection using the Louvain method in cdlib, and compute the average fraction of edges of a node of a community that point outside the community itself?
### Response:
import networkx as nx
from cdlib import algorithms, evaluation

# Read the graph from 'cond-mat-2005.gml'
G = nx.read_gml('cond-mat-2005.gml')

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

# Calculate the average out-degree fraction
avg_out_degree_fraction = evaluation.avg_odf(G, communities)

# Print the average out-degree fraction for the detected communities
print(avg_out_degree_fraction)
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