<｜begin▁of▁sentence｜>### Instruction:
As a traffic engineer, you have been tasked to analyze the traffic patterns and flow within a city's road network. You are required to use the traffic flow data collected from a particular intersection to detect and identify any distinct communities of traffic flow within the network. In order to achieve this, you will utilize the pycombo function available in the CDLib library to perform community detection on the traffic flow data. Once the community detection is done, you need to generate a JSON representation of the resulting NodeClustering object to visualize the identified traffic flow communities.
### Response:
import networkx as nx
from cdlib import algorithms

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

# Apply the Combo community detection algorithm
communities = algorithms.pycombo(G)

# Generating JSON representation of the NodeClustering object
communities_json = communities.to_json()

print(communities_json)
<|EOT|>
