<｜begin▁of▁sentence｜>### Instruction:
As an architect designs buildings and structures while considering aesthetics, safety, and functionality, imagine you are tasked with analyzing the structural layout and functionality of a newly designed smart city. You have access to a GML file containing the network topology of communication lines between various smart infrastructure components such as IoT devices, sensors, and control units. The file, named as-22july06.gml, provides the intricate connections between these components.

To optimize the smart city's operation and management, you aim to utilize advanced community detection techniques to identify clusters of tightly interconnected infrastructure elements. By applying the Louvain method available in the cdlib library, you plan to group these components into communities based on their communication patterns. Your next step will be to calculate the scaled density of each community, providing valuable insights into the density of interactions within and between different functional clusters of the smart city network.
### Response:
import networkx as nx
from cdlib import algorithms, evaluation

G = nx.read_gml('as-22july06.gml')

communities = algorithms.louvain(G)
scaled_density = evaluation.scaled_density(G, communities)

print(scaled_density)
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