<｜begin▁of▁sentence｜>### Instruction:
As a tax accountant prepares and files tax returns and provides tax planning and compliance services, I am knowledgeable about the processes of organizing financial information to ensure compliance with tax laws. Imagine you are a data scientist working on a project involving analyzing the neural connections of the C elegans worm, which are stored in a GML file named "celegansneural.gml." To enhance your analysis, you plan to utilize the NodeClustering algorithm from the cdlib library to perform community detection on the neural network graph. Your goal is to output a JSON representation of the resulting NodeClustering object to further investigate the network's community structure.
### Response:
import networkx as nx
from cdlib import algorithms

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

# Apply the node perception community detection algorithm
communities = algorithms.node_perception(G, threshold=0.25, overlap_threshold=0.25)

# Generate a JSON representation of the NodeClustering object
communities_json = communities.to_json()
print(communities_json)
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