<｜begin▁of▁sentence｜>### Instruction:
Given a graph with edge set [(1, 2), (1, 3), (2, 4), (3, 4), (4, 5)], how can we calculate the betweenness centrality for a subset of nodes, with node 1 and node 2 as sources and node 5 as the target, without normalization and considering all edge weights to be equal?
### Response:
import networkx as nx

# Create a graph
G = nx.Graph()
G.add_edges_from([(1, 2), (1, 3), (2, 4), (3, 4), (4, 5)])

# Define sources and targets
sources = [1, 2]
targets = [5]

# Calculate betweenness centrality for subsets
subset_centrality = nx.betweenness_centrality_subset(G, sources=sources, targets=targets, normalized=False, weight=None)

print(subset_centrality)
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