<｜begin▁of▁sentence｜>### Instruction:
As an urban designer working on a new city project, you've been tasked with identifying and mapping community areas within the city to support targeted urban planning and design. Using the LAIS2 overlapping community discovery algorithm, you need to detect communities within the city's social network, which represents interactions between various civic organizations and community groups. Once the communities are detected, you'll need to provide a JSON representation of the resulting NodeClustering object to inform the design and planning process.
### Response:
import networkx as nx
from cdlib import algorithms

# Load Les Miserables graph
G = nx.read_gml('lesmis.gml')

# Apply LAIS2 overlapping community discovery algorithm
communities = algorithms.lais2(G)

# Convert NodeClustering object to JSON
json_representation = communities.to_json()
print(json_representation)
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