<｜begin▁of▁sentence｜>### Instruction:
Imagine we're coaching a team of five athletes, each with a special connection to every other team member—they always practice and play together, forming a tight-knit unit, just like a network where every person is linked to all the others. Now, suppose we need to find the smallest number of players we would have to take out of the game so that the team doesn't function as a unit anymore—either because there aren't enough players to form a team or because they can't coordinate as they used to. We're thinking about using a strategy from a playbook we have, which is kind of like using an approximation algorithm from NetworkX, to figure this out. How would you, as a physical educator, approach this situation to decide on the minimum number of players to bench, ensuring the team can't play as effectively as they currently do?
### Response:
import networkx as nx
from networkx.algorithms import approximation as approx

# Create a graph G
G = nx.complete_graph(5)

# Compute the node connectivity of the graph
node_connectivity_value = approx.node_connectivity(G)

print('Node connectivity of the graph:', node_connectivity_value)
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