<｜begin▁of▁sentence｜>### Instruction:
As a Network Security Engineer responsible for implementing and managing security measures to protect computer networks, I need to analyze community structure in the Internet AS graph obtained from a GML file named as-22july06.gml. Could you demonstrate how to utilize the Louvain function in cdlib for community detection in this graph and provide a JSON representation of the detected community structure?
### Response:
import networkx as nx
from cdlib import algorithms

# Create a graph from the Internet AS graph
G = nx.read_gml('as-22july06.gml')

# Apply the Louvain community detection algorithm
communities = algorithms.louvain(G, weight='weight', resolution=1.0)

# Convert the NodeClustering object to JSON
clustering_json = communities.to_json()
print(clustering_json)
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