<｜begin▁of▁sentence｜>### Instruction:
Given a graph represented as a Karate Club network (which is a built-in example in NetworkX), how can you compute the betweenness centrality for a subset of edges? Assume we want to calculate betweenness centrality for edges taking into account shortest paths that originate from nodes 0, 1, 2 and end at nodes 33, 32, 31, respectively. How do you normalize the results?
### Response:
import networkx as nx

# Create a graph
G = nx.karate_club_graph()

# Define source and target nodes
sources = [0, 1, 2]
targets = [33, 32, 31]

# Compute betweenness centrality for edges subset
betweenness_subset = nx.edge_betweenness_centrality_subset(G, sources=sources, targets=targets, normalized=True, weight=None)

print('Edge betweenness centrality subset:')
for edge, betweenness in betweenness_subset.items():
    print(f'Edge {edge}: {betweenness}')
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