<｜begin▁of▁sentence｜>### Instruction:
Given a Newman-Watts-Strogatz small-world graph with 100 nodes, each connected to 3 nearest neighbors, and having a rewiring probability of 0.5, can you use the BoostNE model with 16 dimensions, 10 boosting iterations, order 3, alpha equal to 0.05, and a random seed of 90, to obtain the node embeddings?
### Response:
import networkx as nx
from karateclub import BoostNE

# Create a graph
G = nx.newman_watts_strogatz_graph(100, 3, 0.5)

# Initialize BoostNE
boostne_model = BoostNE(dimensions=16, iterations=10, order=3, alpha=0.05, seed=90)

# Fit the model
boostne_model.fit(G)

# Get the embedding
embedding = boostne_model.get_embedding()
print(embedding)
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