<｜begin▁of▁sentence｜>### Instruction:
Given the Coauthorships in network science graph which you can read from a GML file named netscience.gml, can you use the SCAN algorithm provided by the cdlib library to detect communities with a structural similarity threshold (epsilon) of 0.7 and a minimum number of neighbors (mu) of 3? After running the algorithm, can you generate and print a JSON representation of the detected communities?
### Response:
from cdlib import algorithms
import networkx as nx

# Read the graph
G = nx.read_gml('netscience.gml')

# Apply the SCAN algorithm to detect communities
communities = algorithms.scan(G, epsilon=0.7, mu=3)

# Generate a JSON representation of the communities
communities_json = communities.to_json()

# Output the JSON
print(communities_json)
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