<｜begin▁of▁sentence｜>### Instruction:
As a counselor providing guidance and support, I can help you with a practical scenario. Imagine you are a social researcher working with a group of individuals who are studying the social network of characters in the novel Les Miserables. You have obtained a network graph called lesmis.gml, which represents the connections between characters in the book. Your task is to use the Louvain and Leiden community detection methods to identify communities within this network. Following this, you need to compute the Adjusted Rand Index to evaluate the similarity between the community structures obtained by these methods. This index will provide insight into the level of agreement between the two community detection approaches.
### Response:
import networkx as nx
from cdlib import algorithms, evaluation

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

# Detect communities using the Louvain method
louvain_communities = algorithms.louvain(G)

# Detect communities using the Leiden method
leiden_communities = algorithms.leiden(G)

# Evaluate the similarity between the two community structures
ari = evaluation.adjusted_rand_index(louvain_communities, leiden_communities)
print(ari.score)
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