<｜begin▁of▁sentence｜>### Instruction:
As an event coordinator, imagine you are organizing a conference and need to create a seating plan for a networking event. You have a list of attendees and their connections, represented as a graph with edges connecting pairs of attendees. Using this graph, you are required to identify the clusters of connections and create a seating plan to facilitate networking. You need to work with a VertexCover object that allows you to perform operations such as obtaining subgraphs for each cluster, determining the number of clusters, listing all subgraphs, and providing a comprehensive summary of the seating plan. This will help you ensure that attendees can network effectively during the event.
### Response:
from igraph import Graph

g = Graph(edges=[(0, 1), (1, 2), (2, 3), (3, 0)])
vc = g.mincut().add_cover()

# Getting the subgraph corresponding to the first cluster
subgraph0 = vc.subgraph(0)

# Print the number of clusters
print(len(vc))

# Get and print all subgraphs
subgraphs = vc.subgraphs()
print(len(subgraphs))

# Print a string representation of the cover
print(str(vc))

# Print the size of each cluster
print(vc.sizes())

# Print a summary of the cover
print(vc.summary())
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