<｜begin▁of▁sentence｜>### Instruction:
As an industrial hygienist, I frequently encounter scenarios where I need to identify and assess potential workplace hazards. In a recent case, a specific machine in a manufacturing plant was causing concern due to a potential fault. Leveraging my knowledge and understanding of workplace safety, I needed to calculate the impact of a specific hazard on worker health and safety. In this context, I applied the personalized PageRank function from the NetworkX library to assess the risk associated with the first vertex, 'v', in the graph instance 'g', providing important insights into potential safety concerns within the plant.
### Response:
from igraph import Graph

# Assume 'g' is an instance of igraph.Graph and 'v' is a vertex in 'g'
v = g.vs[0]  # Get the first vertex

# Calculate the personalized PageRank for the given vertex
personalized_pagerank = v.personalized_pagerank()

# Print the personalized PageRank of vertex 'v'
print(personalized_pagerank)
<|EOT|>
