<｜begin▁of▁sentence｜>### Instruction:
As a network analyst, you may have gathered the coauthorship data within the field of Network Science from a file called netscience.gml. To gain insights into the community structure within this network, you're interested in applying the Spinglass community detection algorithm using 10 spins from the cdlib library. Once you have identified the communities, it would be valuable to transform the resulting community structure into a JSON formatted representation for further analysis and visualization.
### 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)
<|EOT|>
