<｜begin▁of▁sentence｜>### Instruction:
Given the Political blogs graph polblogs.gml, can you use two community detection algorithms provided by cdlib, such as Louvain and Leiden, to find communities and then calculate the Overlapping Normalized Mutual Information (ONMI) between the two community structures using the LFK method?
### Response:
import networkx as nx
from cdlib import algorithms, evaluation

# Read the graph from the polblogs GML file
G = nx.read_gml('polblogs.gml')

# Perform community detection using two different algorithms
louvain_communities = algorithms.louvain(G)
leiden_communities = algorithms.leiden(G)

# Compute the overlapping normalized mutual information between the two partitions
onmi_lfk = evaluation.overlapping_normalized_mutual_information_LFK(louvain_communities, leiden_communities)

# Print the result
print(onmi_lfk.score)
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