<｜begin▁of▁sentence｜>### Instruction:
Given a graph of books about US politics, which can be read from a gml file named polbooks.gml, how can you use the 'lswl_plus' function from cdlib to detect communities with potential overlaps and outliers in the graph? Once you have detected the communities, how can you represent the community structure in JSON format?
### Response:
from cdlib import algorithms
import networkx as nx

# Read the graph from the gml file
G = nx.read_gml('polbooks.gml')

# Use the LSWL+ algorithm to find communities with possible overlaps and outliers
coms = algorithms.lswl_plus(G, strength_type=2, merge_outliers=True, detect_overlap=False)

# Convert the community structure to JSON format
coms_json = coms.to_json()
print(coms_json)
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