<｜begin▁of▁sentence｜>### Instruction:
Given the Power Grid Graph which you can read from a GML file named power.gml, can you use the Markov Clustering algorithm in cdlib with specific parameters to perform community detection? And can you generate a JSON representation of the resulting clustering?
### Response:
import networkx as nx
from cdlib import algorithms

# Load the Power Grid graph
G = nx.read_gml('power.gml')

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

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