<｜begin▁of▁sentence｜>### Instruction:
As a Sales Representative, you're tasked with selling products or services to meet revenue goals. Imagine you're working for a company that provides a network analysis tool. One of your clients, a large telecommunications company, is interested in optimizing their network infrastructure. They have provided you with a graph representing their network connections, with specific edges denoting the links between different network nodes.

Now, they've identified a critical need to improve connectivity between two key points in their network represented by vertices 0 and 3. They want to know the most efficient way to enhance communication between these nodes, ensuring minimal disruption and maximum efficiency.

To address their query, you need to utilize the 'igraph' library's functionalities, a tool commonly used for network analysis tasks. Specifically, you're tasked with leveraging igraph's capabilities to determine the minimum cut between vertex 0 and vertex 3 in the network graph. This will help you identify the most optimal strategy to enhance connectivity and streamline communication between these crucial network points.
### Response:
from igraph import Graph

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

# Calculate the max flow
flow = g.maxflow(0, 3)

# Obtain the cut from the flow
mincut = flow.cut

# Get the representation of the cut
print(repr(mincut))
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