<｜begin▁of▁sentence｜>### Instruction:
As a sports coach, you may need to analyze team dynamics and identify individuals who work well together to form effective training groups. To achieve this, you can use a network graph tool to analyze the connections between team members and identify communities. For example, you could use networkx, a Python library, to read a team network file in the GML format and then apply the DPClus community detection algorithm to identify cohesive groups within the team. Once these communities are identified, you may want to represent them in JSON format to further analyze and visualize the team's dynamics.
### Response:
import networkx as nx
from cdlib import algorithms

# Loading the C. elegans neural network graph
g = nx.read_gml('celegansneural.gml')

# Performing community detection using the DPClus algorithm
communities = algorithms.dpclus(g)

# Generating a JSON representation of the detected communities
communities_json = communities.to_json()
print(communities_json)
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