<｜begin▁of▁sentence｜>### Instruction:
In the realm of geographical studies, imagine we've mapped a small town in a Graphical Modeling Language file (GML), with nodes representing houses and edges representing direct paths between them. For this hypothetical situation, consider that our graph includes the following connections: [(0, 1), (0, 2), (0, 3), (1, 2), (1, 3)]. Given these defined pathways, how would we determine the navigateability or 'efficiency' of travel between house no.2 and house no.3, considering 'efficiency' as the multiplicative inverse of the shortest route excluding specific weight factors?
### 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 the efficiency between node 2 and node 3
eff = nx.efficiency(G, 2, 3)
print('Efficiency between nodes 2 and 3:', eff)
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