<｜begin▁of▁sentence｜>### Instruction:
As a systems analyst, you may need to analyze the flow of information through a network to improve system performance or efficiency. Suppose you are tasked with evaluating the movement of data within a network represented as an undirected graph. You may need to simulate a random walk from a specific starting point in the network and record the sequence of vertices visited during the walk. This can help in understanding potential pathways and identifying any nodes where the walk may get stuck, potentially indicating bottlenecks or inefficiencies in the network flow. This analysis can then be used to recommend enhancements or optimizations to the network structure.
### Response:
import igraph as ig

# Create an example undirected graph with 5 vertices
graph = ig.Graph(edges=[(0, 1), (1, 2), (1, 3), (3, 4)], directed=False)

# Perform a random walk of 10 steps from vertex 0
walk = graph.random_walk(start=0, steps=10, mode='all', stuck='return', weights=None, return_type='vertices')

print('Random Walk:', walk)
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