<｜begin▁of▁sentence｜>### Instruction:
Given the internet graph structure which can be read from a GML file named as-22july06.gml, can the 'sbm_dl' function from cdlib be used to perform community detection using an efficient Monte Carlo and greedy heuristic for the inference of stochastic block models? The output should be in JSON format, representing the detected node communities.
### Response:
import networkx as nx
from cdlib import algorithms

# Read the internet graph structure from a GML file
G = nx.read_gml('as-22july06.gml')

# Perform community detection using the Stochastic Block Model (SBM) with a greedy heuristic based on description length
communities = algorithms.sbm_dl(G)

# Output the result as JSON
result_json = communities.to_json()
print(result_json)
<|EOT|>
