<｜begin▁of▁sentence｜>### Instruction:
Given a coauthorship network graph in network science which you can read from a GML file named netscience.gml, can you use the Modularity Maximization ('mod_m') community detection algorithm in CDlib to find the local community structures starting from the node with id 0? Then, can you convert the resulting NodeClustering object to a JSON representation and print it?
### Response:
import networkx as nx
from cdlib import algorithms

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

# Apply the Modularity Maximization algorithm starting from a given node (query_node)
coms = algorithms.mod_m(G, query_node=0)

# Transform the NodeClustering object to JSON
json_coms = coms.to_json()

print(json_coms)
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