<｜begin▁of▁sentence｜>### Instruction:
Given the Coauthorships in Network Science graph which you can read from a GML file named netscience.gml, can you apply the spinglass community detection algorithm from cdlib library using 10 spins? Can you convert the resulting community structure into a JSON formatted representation and print it?
### Response:
from cdlib import algorithms
import networkx as nx

# Load the network science coauthorship graph
G = nx.read_gml('netscience.gml')

# Use the spinglass algorithm for community detection
# 'spins' parameter is arbitrarily set to 10 for this example.
# You can adjust it as needed for your specific graph.
com = algorithms.spinglass(G, spins=10)

# Convert the community structure into JSON format
com_json = com.to_json()

print(com_json)
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