<｜begin▁of▁sentence｜>### Instruction:
Given the Political blogs dataset read from a GML file named 'polblogs.gml', can you apply the Link Partitioning Around Medoids (LPAM) algorithm using the cdlib library to perform edge clustering with 2 clusters, a threshold of 0.4, and amplified distance 'amp'? Can you then convert the resulting NodeClustering object to a JSON representation?
### Response:
import networkx as nx
from cdlib import algorithms

# Reading the political blogs graph
G = nx.read_gml('polblogs.gml')

# Applying Link Partitioning Around Medoids (LPAM) for edge clustering
communities = algorithms.lpam(G, k=2, threshold=0.4, distance='amp')

# Converting the communities to JSON
communities_json = communities.to_json()

print(communities_json)
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