<｜begin▁of▁sentence｜>### Instruction:
If you have a platonic icosahedral graph, what is the minimum set of edges that if removed, would disconnect the graph? And can you enhance the computation by using a specific flow algorithm for dense networks?
### Response:
import networkx as nx
from networkx.algorithms.flow import shortest_augmenting_path

# Create a platonic icosahedral graph
G = nx.icosahedral_graph()

# Use shortest_augmenting_path algorithm for underlying maximum flow computation
edge_cut = nx.minimum_edge_cut(G, flow_func=shortest_augmenting_path)

cutset_size = len(edge_cut)
print(f'The minimum edge cut set size is {cutset_size}')

# Optional - print the edges in the cut set
print(f'The cut set is {edge_cut}')
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