<｜begin▁of▁sentence｜>### Instruction:
Given an undirected graph that is represented as a path with 4 nodes, can you compute and display the eigenvector centrality for each node in ascending order of the node labels, rounding the centrality values to two decimal places?
### Response:
import networkx as nx

# Create an undirected graph
G = nx.path_graph(4)

# Compute the eigenvector centrality for the graph G
centrality = nx.eigenvector_centrality(G)

# Display the eigenvector centrality of each node
sorted_centralities = sorted((v, f'{c:0.2f}') for v, c in centrality.items())
print(sorted_centralities)
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