<｜begin▁of▁sentence｜>### Instruction:
In the routine patrol of ensuring the safety and integrity of our digital networks, we've encountered a four-intersection zone structured in a cycle format—think of it as a roundabout with a quartet of critical checkpoints. Now, to amplify our surveillance protocols, we must evaluate the significance of each checkpoint's presence in maintaining traffic flow within this network. 

Utilizing the networking analysis toolkit NetworkX, how might we calculate and examine the closeness vitality—a measure of each node's contribution to the efficiency of movement through this roundabout—for each checkpoint? Envision this as determining how the removal of a checkpoint would impact the overall response times and patrolling effectiveness in this cyclical junction.
### Response:
import networkx as nx

# Create a graph
G = nx.cycle_graph(4)

# Calculate the closeness vitality for each node
vitality = nx.closeness_vitality(G)

# Display the closeness vitality of each node
print(vitality)
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