<｜begin▁of▁sentence｜>### Instruction:
Imagine you have been provided with a transcript of a network's layout, described through connections between various points: pairs like (1, 2), (1, 3), (2, 4), (3, 4), and (4, 5) are the bonds forming this intricate web. As a translator, tasked with rendering this information into a more comprehensible format using NetworkX software, how would you transcribe the complex concept of "average node connectivity" for this specific configuration into layman's terms? Your translation should retain the original concept's essence and should not include instructions on how to carry out the computation within the NetworkX framework.
### Response:
import networkx as nx

# Create an undirected graph
G = nx.Graph()
# Add edges to the graph
G.add_edges_from([(1, 2), (1, 3), (2, 4), (3, 4), (4, 5)])

# Calculate the average node connectivity of the graph
avg_node_connectivity = nx.average_node_connectivity(G)

print('Average node connectivity of the graph:', avg_node_connectivity)
<|EOT|>
