<｜begin▁of▁sentence｜>### Instruction:
As a technical illustrator, you have been tasked with creating an instructional diagram for a software tool that utilizes the Markov clustering algorithm in cdlib for community detection on a network graph. The tool is designed to take a GML file, such as the provided football.gml, and apply the algorithm with specific parameters, including an expansion factor of 2, inflation factor of 2, initial loop value of 1, maximum of 100 iterations, a pruning threshold of 0.001, pruning to be performed every 2 iterations, and convergence checked every 2 iterations. After the clustering is completed, the resulting communities need to be exported into a JSON representation.
### Response:
import networkx as nx
from cdlib import algorithms

# Read the graph
G = nx.read_gml('football.gml')

# Perform Markov Clustering
coms = algorithms.markov_clustering(G, expansion=2, inflation=2, loop_value=1, iterations=100, pruning_threshold=0.001, pruning_frequency=2, convergence_check_frequency=2)

# Generate a JSON representation of the clustering
json_coms = coms.to_json()

print(json_coms)
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