<｜begin▁of▁sentence｜>### Instruction:
Certainly! Imagine you're crafting a unique piece of furniture, a network-themed coffee table that visually represents different relationships between its elements, akin to a community of joints and connections. Each leg and joint represents a node and each linkage between them is akin to an edge in a network. For this particular design, you have outlined the following connections between the elements of your table: the tabletop (node 0) is connected to three legs (nodes 1, 2, and 3), and then two of those legs (nodes 1 and 2) are also interlinked, as well as being connected to the third leg (node 3).

In crafting this piece, you wish to understand how efficiently a force, or 'interaction', can move within the local neighborhoods of these connections, which in networking terms is akin to calculating the average local efficiency of the structure. How might you go about measuring this aspect of your design, ensuring that the connections within these local neighborhoods of your table are optimally arranged?
### Response:
import networkx as nx

# Create a graph
G = nx.Graph()

# Add some edges to the graph
G.add_edges_from([(0, 1), (0, 2), (0, 3), (1, 2), (1, 3)])

# Calculate the average local efficiency
avg_local_eff = nx.local_efficiency(G)

print('Average local efficiency:', avg_local_eff)
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