<｜begin▁of▁sentence｜>### Instruction:
Given the Political blogs dataset which can be read from a GML file named polblogs.gml, can you apply the Markov Clustering algorithm using cdlib with expansion factor 2, inflation factor 2, loop value 1, maximum 100 iterations, pruning threshold 0.001, pruning every 2 iterations, and checking for convergence every 10 iterations? And can you provide a JSON representation of the resulting community structure?
### Response:
import networkx as nx
from cdlib import algorithms

# Create a graph from the Political blogs dataset
G = nx.read_gml('polblogs.gml')

# Apply the Markov Clustering algorithm
communities = algorithms.markov_clustering(G, expansion=2, inflation=2, loop_value=1, iterations=100, pruning_threshold=0.001, pruning_frequency=2, convergence_check_frequency=10)

# Generate a JSON representation of the clustering object
communities_json = communities.to_json()
print(communities_json)
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