<｜begin▁of▁sentence｜>### Instruction:
As a Journal Editor, I often use network analysis to identify distinct research communities within our field. Recently, I've come across the neural network of C. elegans, a model organism used in neuroscience studies. The network data is stored in a GML file named celegansneural.gml, and I'm interested in applying community detection to uncover distinct clusters within this neural network using the Label Propagation algorithm. Once detected, I'd like to obtain a JSON representation of the identified communities for further analysis. Can you assist in performing this task using the appropriate network analysis tools and techniques?
### Response:
import networkx as nx
from cdlib import algorithms

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

# Perform community detection using Label Propagation algorithm
communities = algorithms.label_propagation(G)

# Generate a JSON representation of the detected communities
json_representation = communities.to_json()
print(json_representation)
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