<｜begin▁of▁sentence｜>### Instruction:
As a private investigator, I understand that you have a complex network of word adjacencies that you need to analyze for community detection. You can use the NetworkX library to read the Word Adjacencies graph from the GML file named adjnoun.gml. Then, you can utilize the community detection function 'em' in the cdlib library to identify communities within the network, aiming to detect 3 specific communities. Once the communities are detected, you can generate and print a JSON representation of the identified communities for further analysis and decision-making purposes. Using these techniques can help you uncover valuable insights and patterns within the network data, potentially supporting your investigative efforts in various fields.
### Response:
import networkx as nx
from cdlib import algorithms

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

# Apply the EM community detection algorithm
# Assuming we want to detect 3 communities
communities = algorithms.em(G, k=3)

# Generate a JSON representation of the detected communities
communities_json = communities.to_json()
print(communities_json)
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