<｜begin▁of▁sentence｜>### Instruction:
Given the C. elegans neural network graph which you can read from a GML file named celegansneural.gml, can you use the greedy_modularity function in cdlib to perform community detection and convert the community detection result into JSON format? Please print the JSON representation of the community structure.
### Response:
import networkx as nx
from cdlib import algorithms

# Create a graph from the C. elegans neural network
G = nx.read_gml('celegansneural.gml')

# Apply the Clauset-Newman-Moore greedy modularity maximization for community detection
communities = algorithms.greedy_modularity(G)

# Convert the community detection result into JSON format
json_representation = communities.to_json()

print(json_representation)
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