<｜begin▁of▁sentence｜>### Instruction:
Imagine you're analyzing a network of dental practices, where each practice refers patients to the next practice in a linear sequence, creating a referral pathway akin to a chain of four clinics. You wish to understand the influence of each dental practice within this referral pathway. Employing a tool akin to an X-ray for network analysis, could you employ NetworkX's eigenvector_centrality_numpy function to discern the relative influence, or centrality, of each practice in this linear referral chain?
### Response:
import networkx as nx

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

# Compute the eigenvector centrality
centrality = nx.eigenvector_centrality_numpy(G)

# Display the eigenvector centrality for each node
for node in centrality:
    print(f"{node} {centrality[node]:0.2f}")
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