<｜begin▁of▁sentence｜>### Instruction:
Given a graph with edges [(0, 1), (1, 2), (2, 3), (3, 4), (4, 0)], can you use the layout_mds function in igraph to calculate the 2D positions of vertices using multidimensional scaling based on the shortest path distances between vertices?
### Response:
from igraph import Graph, ARPACKOptions

# Create a graph
edges = [(0, 1), (1, 2), (2, 3), (3, 4), (4, 0)]
g = Graph(edges=edges)

# Generate a distance matrix (can be based on shortest paths or other criteria)
dist_matrix = g.shortest_paths_dijkstra()

# Perform the MDS layout
layout = g.layout_mds(dist=dist_matrix, dim=2)

# Print the positions of the vertices
print(layout.coords)
<|EOT|>
