<｜begin▁of▁sentence｜>### Instruction:
Certainly! Imagine you're working with a circuit simulation that models connections between components as a network, with the components represented by nodes and the wires by edges. In the simulation network, you're analyzing the conductivity pathway between two specific components, labeled as node 2 and node 3. The simulation's network is defined by connections (wires) as followed: a wire from component 0 to component 1, one from component 0 to component 2, another from component 0 to component 3, one more between component 1 and component 2, and finally, one between component 1 and component 3.

In this electrical engineering scenario, how would you go about calculating the "conductivity efficiency" between the components represented by node 2 and node 3 in our simulation network using NetworkX? This efficiency measure will help us understand the effectiveness of the potential current flow between these two components within our circuit model.
### Response:
import networkx as nx

# Create a graph
G = nx.Graph()
G.add_edges_from([(0, 1), (0, 2), (0, 3), (1, 2), (1, 3)])

# Calculate efficiency between node 2 and 3
eff = nx.efficiency(G, 2, 3)

print('Efficiency between node 2 and 3:', eff)
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