<｜begin▁of▁sentence｜>### Instruction:
Given the Political Books Graph which can be read from a GML file named polbooks.gml, can you use Louvain and Leiden algorithms in cdlib to perform community detection on the graph? Furthermore, can you compute the Overlapping Normalized Mutual Information, following Lancichinetti et al.’s extension for overlapping partitions, to evaluate the similarity between the two community structures?
### Response:
import networkx as nx
from cdlib import algorithms, evaluation

# Load the political books graph
G = nx.read_gml('polbooks.gml')

# Detect communities using two different algorithms
louvain_communities = algorithms.louvain(G)
leiden_communities = algorithms.leiden(G)

# Evaluate the similarity of the two community detections
onmi_lfk = evaluation.overlapping_normalized_mutual_information_LFK(louvain_communities, leiden_communities)

print(onmi_lfk)
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