<｜begin▁of▁sentence｜>### Instruction:
"In a recent article, we're covering an intriguing study on network dynamics where researchers utilized a fascinating tool: NetworkX. They have constructed a simple conceptual model of a network graph, composed of three interconnected nodes, initially labeled with the pragmatic digits 0, 1, and 2. As part of an illustrative example for the readers, could you detail how the scientists might employ the `relabel_nodes` function in NetworkX to transform those initial numeric labels into the more accessible alphabetic characters 'a', 'b', and 'c'? This relabeling approach is vital for demonstrating the versatility of data representation in network analysis."
### Response:
import networkx as nx

# Create a graph
G = nx.path_graph(3)

# A dictionary that maps old node labels to new labels
mapping = {0: 'a', 1: 'b', 2: 'c'}

# Use relabel_nodes to create a new graph with the nodes relabeled
H = nx.relabel_nodes(G, mapping)

# Print the nodes of the new graph
print('Nodes of H:', list(H.nodes()))
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