<｜begin▁of▁sentence｜>### Instruction:
As an IT support specialist, you've been tasked with analyzing collaboration patterns among researchers in a Condensed Matter Physics department. The data has been obtained from the Condensed Matter collaborations 2005 network graph, which is stored in a GML file named cond-mat-2005.gml. Your task is to use the EnDNTM function in the cdlib library for overlapping community detection using an ensemble of non-overlapping community partitions. Once the communities have been detected, you need to convert the resulting NodeClustering object to a JSON format and print it. This will help in understanding the collaborative patterns within the research community.
### Response:
import networkx as nx
from cdlib import algorithms, NodeClustering

# Read the condensed matter collaborations 2005 network graph
G = nx.read_gml('cond-mat-2005.gml')

# Apply some standard non-overlapping community detection algorithms to create an ensemble
coms_louvain = algorithms.louvain(G)
coms_label_prop = algorithms.label_propagation(G)
coms_walktrap = algorithms.walktrap(G)

# Use the ensemble for overlapping community detection with EnDNTM
coms_endntm = algorithms.endntm(G, [coms_louvain, coms_label_prop, coms_walktrap], epsilon=2)

# Convert the EnDNTM result to a JSON object
coms_json = coms_endntm.to_json()

print(coms_json)
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