<｜begin▁of▁sentence｜>### Instruction:
As an ecologist studying the relationships between organisms and their environments, including ecosystems, habitats, and biodiversity, you are conducting research on collaborative networks in high-energy theory. At this stage, you want to use the AGDL algorithm in the cdlib library to analyze the relationships and detect communities within the high-energy theory collaborations graph. You aim to identify 3 communities with a neighbor set size of 4 for each cluster. Additionally, you need to represent the clustering result in its JSON format. Given the High-energy theory collaborations graph from a GML file named hep-th.gml, you want to know how to accomplish this using cdlib library.
### Response:
import networkx as nx
from cdlib import algorithms

# Creating a graph from high-energy theory collaborations
g = nx.read_gml('hep-th.gml')

# Applying the AGDL community detection algorithm
communities = algorithms.agdl(g, number_communities=3, kc=4)

# Generating JSON representation of the clustering
clustering_json = communities.to_json()
print(clustering_json)
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