<｜begin▁of▁sentence｜>### Instruction:
As a skilled glassblower, you've been commissioned to create a breathtaking glass sculpture inspired by the characters of Victor Hugo's "Les Misérables". To capture the intricate relationships between the characters, you'll need to analyze the network of interactions among them. Fortunately, you have a digital blueprint of this network stored in a file named "lesmis.gml".

To ensure your sculpture accurately reflects the dynamics of the characters' connections, you're considering employing an innovative technique known as entropy-based clustering. This method, implemented in the CDlib library, allows you to identify cohesive groups within the network based on the entropy of node connections.

Once you've applied the entropy-based clustering algorithm to the Les Misérables network, you'll need to represent the resulting community structure in a format that's easy to interpret and share. Converting the NodeClustering object generated by CDlib into a JSON representation will enable you to visualize the community structure and plan your glass sculpture accordingly.
### Response:
import networkx as nx
from cdlib import algorithms

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

# Apply entropy-based clustering algorithm
communities = algorithms.ebgc(G)

# Convert the clustering result to JSON
communities_json = communities.to_json()
print(communities_json)
<|EOT|>
