<｜begin▁of▁sentence｜>### Instruction:
Given the 'Les Miserables' social graph which you can read from a gml file named lesmis.gml, can you use the 'markov_clustering' function from cdlib to perform community detection with specific settings for expansion, inflation, iterations, pruning threshold, pruning frequency, and convergence check frequency?
### Response:
import networkx as nx
from cdlib import algorithms

# Load the graph
G = nx.read_gml('lesmis.gml')

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

# Proceed with the analysis ... # For example, you might want to check the number of identified communities
print(f'Identified {len(coms.communities)} communities.')
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