<｜begin▁of▁sentence｜>### Instruction:
As a choreographer working on a large-scale dance production, I need to choreograph a sequence involving 50 dancers out of a total of 200 performers. To ensure the movements flow seamlessly, I want to use a non-back-tracking random walk technique, starting the sequence from a specific dancer.

In this scenario, imagine the dancers as nodes in a network, each connected based on their interactions during the performance. Using the "NonBackTrackingRandomWalkSampler" tool, I aim to create a subsequence of movements for the selected 50 dancers, initiating the sequence from dancer number 0. This ensures that the dancers move through the sequence without repeating steps or returning to their previous positions, creating a dynamic and captivating performance.
### Response:
import networkx as nx
from littleballoffur import NonBackTrackingRandomWalkSampler

G = nx.gnp_random_graph(n=200, p=0.4)
sampler = NonBackTrackingRandomWalkSampler(number_of_nodes=50, seed=123)
sampled_G = sampler.sample(G, start_node=0)
print(sampled_G.nodes)
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