<｜begin▁of▁sentence｜>### Instruction:
Given an adjacency network of common adjectives and nouns in the novel 'David Copperfield', represented in a GML file named adjnoun.gml, can you use the walkscan function in cdlib to perform community detection using a random walk with 5 steps, eps value of 0.1, and a minimum sample size of 2? Can you output the detected communities in JSON format?
### Response:
import networkx as nx
from cdlib import algorithms

# Create a graph from the words adjacency network
G = nx.read_gml('adjnoun.gml')

# Apply the walkscan community detection algorithm
communities = algorithms.walkscan(G, nb_steps=5, eps=0.1, min_samples=2)

# Output the result as a JSON
communities_json = communities.to_json()
print(communities_json)
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