<｜begin▁of▁sentence｜>### Instruction:
As a Music Director responsible for creating and arranging original music for a variety of projects, including live performances, soundtracks, and advertisements, you have been tasked with collaborating with singers and instrumentalists to produce a new score for a classic play. Utilizing a specialized software tool called CDLib, you are required to analyze the 'Les Miserables' social network graph, which is stored in a GML file named lesmis.gml. The objective is to employ the LEMON community detection algorithm within CDLib to identify distinct communities within the network based on specific seed nodes such as 'Valjean', 'Javert', and 'Thenardier'. Once the algorithm has generated the communities, you must print out the resulting groupings to better understand the social interactions and connections within the network.
### Response:
import networkx as nx
from cdlib import algorithms

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

# Define the seeds for the LEMON algorithm
seeds = ['Valjean', 'Javert', 'Thenardier']

# Run LEMON community detection algorithm
communities = algorithms.lemon(G, seeds=seeds, min_com_size=20, max_com_size=50, expand_step=6, subspace_dim=3, walk_steps=3, biased=False)

# Output the communities
print(communities)
<|EOT|>
