<｜begin▁of▁sentence｜>### Instruction:
Given the co-authorship graph in network science which can be read from a GML file named netscience.gml, can you demonstrate how to use the threshold clustering algorithm from cdlib to perform community detection using the median as a threshold function for edge weights?
### Response:
import networkx as nx
from cdlib import algorithms
import numpy as np

# Create a graph from the Network Science co-authorship dataset
g = nx.read_gml('netscience.gml')

# Apply the threshold clustering algorithm with median as threshold function
communities = algorithms.threshold_clustering(g, threshold_function=np.median)

# Get the JSON representation of the clustering
clustering_json = communities.to_json()
print(clustering_json)
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