<｜begin▁of▁sentence｜>### Instruction:
Given a graph 'g' representing the karate club, can you use the LabelPropagation model from the '07 paper “Near Linear Time Algorithm to Detect Community Structures in Large-Scale Networks” to detect community structures in the graph? You should provide the cluster memberships of the nodes after fitting the model.
### Response:
import networkx as nx
from karateclub import LabelPropagation

# Step 1: Create a graph
g = nx.karate_club_graph()

# Step 2: Initialize the LabelPropagation model with optional parameters
model = LabelPropagation(seed=42, iterations=100)

# Step 3: Fit the model to the graph
model.fit(g)

# Step 4: Get the cluster memberships
memberships = model.get_memberships()

print(memberships)
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