<｜begin▁of▁sentence｜>### Instruction:
Given the Astrophysics collaborations Graph which you can read from a GML file named astro-ph.gml, can you use the Walkscan community detection algorithm from cdlib to perform community detection with a random walk of length 5 and DBSCAN parameters: eps set to 0.1 and min_samples set to 3? Additionally, can you convert and print the resulting NodeClustering object to a JSON format?
### Response:
import networkx as nx
from cdlib import algorithms

# Creating a graph of Astrophysics collaborations from a GML file
G = nx.read_gml('astro-ph.gml')

# Applying the Walkscan community detection algorithm
detection_parameters = {'nb_steps': 5, 'eps': 0.1, 'min_samples': 3}
communities = algorithms.walkscan(G, **detection_parameters)

# Exporting the NodeClustering object to JSON
communities_json = communities.to_json()
print(communities_json)
<|EOT|>
