<｜begin▁of▁sentence｜>### Instruction:
As a network analysis consultant, I am tasked with applying the LEMON community detection algorithm to analyze a Word Adjacencies Graph represented in the adjnoun.gml file. The graph contains relationships between different words, and my goal is to identify overlapping communities starting from key seed nodes such as 'art', 'science', and 'literature'. Once the communities are detected, I will need to present the community structure in a JSON format for further analysis and visualization.

Imagine a scenario where a social media platform wants to understand the interconnected themes within user-generated content. By analyzing the relationships between words in posts and comments using networkx and the LEMON community detection algorithm, the platform aims to identify overlapping communities based on key topics like 'art', 'science', and 'literature'. The resulting community structure will provide insight into the diverse interests and interactions among users, enabling the platform to tailor content and engagement strategies effectively.
### Response:
import networkx as nx
from cdlib import algorithms

# Create a graph from the word adjacencies network
G = nx.read_gml('adjnoun.gml')

# Define seeds for the LEMON community detection algorithm
seeds = ["art", "science", "literature"]

# Perform community detection using LEMON algorithm
communities = algorithms.lemon(G, seeds, min_com_size=2, max_com_size=5)

# Convert the communities structure to JSON
communities_json = communities.to_json()

print(communities_json)
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