<｜begin▁of▁sentence｜>### Instruction:
As a Disaster Recovery Specialist, imagine you are tasked with analyzing a network structure of vital communication links in a disaster recovery plan. You have a set of edges representing the connections between different communication nodes, such as satellite phones, emergency radio stations, and command centers. To determine the minimum number of communication nodes needed to ensure that all connections are covered in the event of a disaster, you want to use a function or tool similar to VertexCover.sizes to calculate the sizes of the minimum required communication nodes to maintain connectivity across the network.
### Response:
from igraph import Graph

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

# Find the minimum vertex cover of the graph
vertex_cover = g.mincut().add_partition(0).as_cover()

# Get the size of the vertex cover using sizes
vertex_cover_sizes = vertex_cover.sizes()
print(vertex_cover_sizes)
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