<｜begin▁of▁sentence｜>### Instruction:
As an expert in network analysis and community detection, I can certainly help with your request to use the AGDL algorithm in cdlib to identify communities within a graph of word adjacencies. 

Imagine you are a curator at a museum and you've been tasked with organizing a special exhibit featuring artifacts from three distinctive cultural regions. You have a detailed list of adjacent artifacts that you'll use as the basis for forming these communities. Utilizing the AGDL algorithm in cdlib, your goal is to identify clusters of artifacts, ensuring that each cluster represents a coherent cultural group, and the neighbor set size for each cluster remains within 4. Once the clusters are determined, you'll need to convert the clustering results into a JSON representation for further analysis and presentation to the museum's board.
### Response:
import networkx as nx
from cdlib import algorithms

# Load the graph
G = nx.read_gml('adjnoun.gml')

# Apply AGDL community detection
communities = algorithms.agdl(G, number_communities=3, kc=4)

# Export the clustering as JSON
clustering_json = communities.to_json()
print(clustering_json)
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