<｜begin▁of▁sentence｜>### Instruction:
Imagine you're handling the case management of an individual recently released into the community on probation, you understand that monitoring the relationships and associations they maintain is crucial for assessing their reinstatement into society. Now, think of a scenario where there's a group of three individuals who have formed a close-knit circle, akin to a trio that always moves together, almost like a cycle. Additionally, there's another individual who is only connected to one member of this trio. 

In an effort to evaluate the strength and resilience of their relationships, akin to preparing for any potential disruptive influences in their network, could you conceptualize how one might calculate the robustness of connections between each pair within this group? To put it in a more practical context, how resilient are the ties between each individual in this network, if, say, external pressures or temptations were to try to sever their bonds? This assessment should include all relationships, even between the trio and the individual who is only connected to one of them.
### Response:
import networkx as nx
import pprint

# Create a graph
G = nx.cycle_graph(3)
G.add_edge(2, 3)

# Compute node connectivity between all pairs of nodes in G
K = nx.all_pairs_node_connectivity(G)

# Print the result using pprint for nice formatting
pprint.pprint(K)
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