<｜begin▁of▁sentence｜>### Instruction:
Could you use the UMSTMO function in CDLIB to analyze overlapping community structures in the network of common adjectives and nouns, which you can access from the adjnoun.gml file? Once you have detected the community structure, could you convert it into a JSON format and output it? This can be helpful for understanding the interconnectedness and relationships within the dataset, potentially leading to insights for various fields such as linguistics, social sciences, or information retrieval.
### Response:
import networkx as nx
from cdlib import algorithms

# Read the adjacency graph of common adjectives and nouns
G = nx.read_gml('adjnoun.gml')

# Apply the UMSTMO community detection algorithm
coms = algorithms.umstmo(G)

# Convert the community structure to a JSON object
coms_json = coms.to_json()
print(coms_json)
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