<｜begin▁of▁sentence｜>### Instruction:
Given the Political blogs Graph which can be read from a GML file named 'polblogs.gml', how can the regularized spectral clustering algorithm be leveraged to partition the graph into communities? Moreover, how can the resulting community structure be represented in JSON format?
### Response:
import networkx as nx
from cdlib import algorithms

# Create a graph
G = nx.read_gml('polblogs.gml')

# Perform spectral clustering with regularization
communities = algorithms.r_spectral_clustering(G, n_clusters=3, method='regularized', percentile=20)

# Generate JSON representation of the community structure
community_json = communities.to_json()

print(community_json)
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