<｜begin▁of▁sentence｜>### Instruction:
Given the Network Science coauthorship graph which one can read from a GML file named netscience.gml, how can the scaled density of communities detected using the Louvain method be computed and what does this metric represent in terms of the community structure?
### Response:
import networkx as nx
from cdlib import algorithms, evaluation

# Loading the graph
G = nx.read_gml('paths_to_netscience.gml')

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

# Compute the scaled density of the detected communities
scd = evaluation.scaled_density(G, communities)

# Print the result
print(scd)
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