<｜begin▁of▁sentence｜>### Instruction:
As a landscape designer, you've been asked to work on a large park project. The project team has provided a file called "hep-th.gml" containing data on the collaboration network of high-energy theory researchers. You have been asked to use the kcut function in the cdlib library to perform community detection with a maximum of 4 communities. After obtaining the community detection results, you need to convert the NodeClustering object into a JSON string representation. Can you guide the team on how to achieve this using the cdlib library?
### Response:
import networkx as nx
from cdlib import algorithms

# Read the graph
G = nx.read_gml('hep-th.gml')

# Perform community detection using kcut algorithm
coms = algorithms.kcut(G, kmax=4)

# Convert NodeClustering object to a JSON string
coms_json = coms.to_json()

# Print the JSON string
print(coms_json)
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