<｜begin▁of▁sentence｜>### Instruction:
As a mobile app tester, you've been assigned to evaluate a new feature for a mobile app designed to visualize neural networks. The feature involves community detection within a neural network graph. You've received a task to analyze the neural network graph of the C. elegans worm, which is stored in a GML file named 'celegansneural.gml'. Your objective is to use the Louvain algorithm for community detection on this graph. Additionally, you're asked to compute the Flake Out Degree Fraction (ODF) as part of the analysis. Once you've completed the computation, you're required to print the Flake ODF score. This will provide valuable insights into the network structure and community organization within the neural network of C. elegans.
### Response:
import networkx as nx
from cdlib import algorithms, evaluation

# Reading the neural network graph of C. elegans
G = nx.read_gml('celegansneural.gml')

# Performing community detection using Louvain algorithm
communities = algorithms.louvain(G)

# Computing Flake Out Degree Fraction (ODF)
flake_odf_score = evaluation.flake_odf(G, communities)

print(f'Flake ODF score: {flake_odf_score}')
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