<｜begin▁of▁sentence｜>### Instruction:
As a brand manager, you are tasked with analyzing customer feedback on social media to understand the perception of your brand. You have been working on building a network graph based on the interactions among customers. The edges of the graph represent connections between customers who have mentioned or engaged with your brand. Now, you need to apply the mincut method to identify the minimum vertex cover, and then use the VertexCover.crossing function to determine which edges lie between clusters. This information will help you understand the level of interaction between different customer segments and guide your brand promotion strategies.
### Response:
import igraph as ig

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

# Find the vertex cover using a heuristic method
vc = g.mincut().as_cover()

# Get the information about edges crossing between clusters
edge_crossing = vc.crossing()

# Print the vector showing if edges are crossing between clusters
print(edge_crossing)
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