<｜begin▁of▁sentence｜>### Instruction:
As a disaster relief worker, you've been tasked with coordinating assistance efforts in a community affected by a recent earthquake. You need to analyze a network of roads and bridges to determine which critical transportation links lie between clusters of key infrastructure points, so that you can prioritize repairs and ensure smooth access for relief supplies. Using the networkx library in Python, you want to utilize the VertexCover class to identify the minimum set of vertices that cover all edges in the graph, and then use the crossing function to determine which edges connect the clusters found in the minimum vertex cover. This information will help you strategize and allocate resources effectively for the repair and restoration of essential transportation routes.
### Response:
import igraph as ig

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

# Find the minimum vertex cover using the default heuristic
g.vs['name'] = ['A', 'B', 'C', 'D']
vertex_cover = g.omega()

# Use the crossing function to get the edges between clusters
edges_between_clusters = vertex_cover.crossing()

# Create a list of edges between clusters
edge_list = [g.es[idx].tuple for idx, cross in enumerate(edges_between_clusters) if cross]

# Print the edges between clusters
print(edge_list)
<|EOT|>
