<｜begin▁of▁sentence｜>### Instruction:
As a Public Relations Manager, you have been tasked with analyzing the community structure within a network of political books to enhance stakeholder engagement. You are required to utilize the Louvain and Leiden algorithms from the cdlib library to identify communities within the network. Additionally, you need to compute the Overlapping Normalized Mutual Information, as proposed by Lancichinetti et al., to measure the similarity between the two community structures. The network data is stored in a GML file named polbooks.gml.
### 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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