<｜begin▁of▁sentence｜>### Instruction:
Given the Political blogs dataset in a GML file named 'polblogs.gml', how can you apply the Louvain community detection algorithm to identify communities and compute the link modularity, which is a quality function designed for directed graphs with overlapping communities?
### Response:
import networkx as nx
from cdlib import algorithms, evaluation

# Create a graph
G = nx.read_gml('polblogs.gml')

# Apply the Louvain community detection algorithm
communities = algorithms.louvain(G)

# Compute the link modularity
link_modularity_value = evaluation.link_modularity(G, communities)

print(link_modularity_value)
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