<｜begin▁of▁sentence｜>### Instruction:
Given the Coauthorships in network science graph which can be read from a GML file named netscience.gml, can you apply the EnDNTM overlapping community detection algorithm in cdlib using the disjoint community partitions generated by Louvain, Label Propagation, and Walktrap algorithms? Can you also generate a JSON representation of the resulting NodeClustering object?
### Response:
import networkx as nx
from cdlib import algorithms, NodeClustering

# Load a graph
G = nx.read_gml('netscience.gml')

# Generate disjoint community partitions using different algorithms
coms_louvain = algorithms.louvain(G, weight='weight')
coms_label_prop = algorithms.label_propagation(G)
coms_walktrap = algorithms.walktrap(G)

# Using ensemble approach with EnDNTM to detect overlapping communities
ensemble = [coms_louvain, coms_label_prop, coms_walktrap]
coms_endntm = algorithms.endntm(G, ensemble, epsilon=2)

# Convert the community detection result to JSON format
coms_json = coms_endntm.to_json()

print(coms_json)
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