<｜begin▁of▁sentence｜>### Instruction:
As a Political Analyst specializing in social network analysis, I have been tasked with conducting a comprehensive analysis of the relationships within a network representing characters from Victor Hugo's novel 'Les Miserables,' which has been stored in a gml file named lesmis.gml. I am required to employ the endntm function from the CDLib API to implement overlapping community detection. This analysis will involve utilizing an ensemble of community detection algorithms, specifically Louvain, Label Propagation, and Walktrap. Following the detection process, I will be expected to generate a JSON representation of the identified communities for further review and analysis.
### Response:
import networkx as nx
from cdlib import algorithms

# Load the Les Miserables graph
G = nx.read_gml('lesmis.gml')

# Perform community detection using Louvain, Label Propagation, and Walktrap algorithms
coms_l = [algorithms.louvain(G), algorithms.label_propagation(G), algorithms.walktrap(G)]

# Apply EnDNTM for overlapping community detection with an epsilon value of 2
coms = algorithms.endntm(G, coms_l, epsilon=2)

# Generate a JSON representation
coms_json = coms.to_json()

print(coms_json)
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