<｜begin▁of▁sentence｜>### Instruction:
As a network analyst, if you have access to the C. elegans neural network graph data stored in a GML file named 'celegansneural.gml,' you can utilize the CONGA algorithm in the cdlib library to perform community detection and obtain a JSON representation of the resulting NodeClustering object. Suppose you are tasked with identifying potential distinct functional modules within the neural network, with the aim of categorizing neurons into three communities based on their connectivity patterns. To achieve this, it's essential to apply the CONGA algorithm and produce a JSON representation of the NodeClustering object to effectively communicate the detected communities.
### Response:
import networkx as nx
from cdlib import algorithms

G = nx.read_gml('celegansneural.gml')
com = algorithms.conga(G, number_communities=3)

json_result = com.to_json()
print(json_result)
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