<｜begin▁of▁sentence｜>### Instruction:
Imagine you're examining the interconnected pathways of the human vestibular system, which resembles an intricate network. Think of node 0 as the external auditory canal and node 6 as the Eustachian tube within this complex system. In analyzing this network's resilience to disruptions, you're curious to identify the minimal collection of auditory pathways (edges in network parlance) that, if blocked or impaired, would prevent signals from traveling between the external auditory canal and the Eustachian tube. Could you determine which specific pathways, if compromised, would sever this vital connection? The data for this network structure can be found within the specified graph model.
### Response:
import networkx as nx
from networkx.algorithms.connectivity import minimum_st_edge_cut

# Create a graph
G = nx.icosahedral_graph()

# Calculate the minimum set of edges that would disconnect node 0 from node 6
min_cut_set = minimum_st_edge_cut(G, 0, 6)

print('Minimum (s, t)-edge cut set:', min_cut_set)
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