<｜begin▁of▁sentence｜>### Instruction:
Given the high-energy theory collaborations graph which you can read from a GML file named hep-th.gml, can you use the DPClus algorithm in cdlib to perform overlapping community detection? Additionally, can you provide a JSON representation of the resulting NodeClustering object?
### Response:
from cdlib import algorithms
import networkx as nx

# Load the high-energy theory collaborations graph
G = nx.read_gml('hep-th.gml')

# Perform community detection using DPClus algorithm
coms = algorithms.dpclus(G, d_threshold=0.9, cp_threshold=0.5, overlap=True)

# Generate a JSON representation of the NodeClustering object
coms_json = coms.to_json()
print(coms_json)
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