<｜begin▁of▁sentence｜>### Instruction:
As a health educator focused on community wellness, you're tasked with implementing programs to improve public health. Imagine you're working on a project to promote physical activity in neighborhoods. You have a network of walking paths, represented as a graph, with connections between different points of interest. For example, you might have paths connecting parks, schools, and community centers.

Your team wants to rearrange the layout of these paths based on feedback from residents and city planners. They've provided you with an edge list describing the current connections between points of interest. Additionally, they've suggested a new order in which these points should be connected, aiming to optimize the walking experience and accessibility.

To accomplish this, you plan to use a tool called `permute_vertices` from the community planning software you're using. This function allows you to reorder the vertices of the graph according to a specified permutation. Once you apply this function, you'll need to examine the updated edge list to see how the connections have changed, ensuring the paths align with the new layout suggested for the community's benefit.
### Response:
from igraph import Graph

# Create a simple graph
g = Graph(edges=[(0, 1), (1, 2), (2, 3)])

# Define a permutation of vertices
permutation = [3, 2, 1, 0]

# Apply the vertex permutation and get the new graph
new_g = g.permute_vertices(permutation)

# Print edge list of the new graph
print(new_g.get_edgelist())
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