<｜begin▁of▁sentence｜>### Instruction:
As a lighting technician working on a theater production, I need to organize the stage lighting equipment and systems to effectively highlight different areas of the stage. The theater has a network of lighting fixtures connected to a central system, and I have a file, named "theater-lighting.gml", that provides the layout of the lighting network. Using the Louvain method in the CDLib software, I want to analyze the network to identify groups of lighting fixtures that can be controlled together. Once the community detection is done, I need to calculate the average out-degree fraction for each group to understand the flow of control signals within the network.
### Response:
import networkx as nx
from cdlib import algorithms, evaluation

# Read the graph
G = nx.read_gml('hep-th.gml')

# Perform community detection
communities = algorithms.louvain(G)

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

# Print the result
print(avg_out_degree_fraction)
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