<｜begin▁of▁sentence｜>### Instruction:
Given a bipartite graph with nodes {1, 2, 3} in one set and {'a', 'b', 'c', 'd'} in the other set, with edges connecting nodes from one set to the other as follows: [(1, 'a'), (1, 'b'), (2, 'b'), (2, 'c'), (3, 'c'), (3, 'd')], how would you calculate the closeness centrality using NetworkX's closeness_centrality function if the provided set of nodes is {1, 2, 3}?
### Response:
import networkx as nx
from networkx.algorithms import bipartite

# Create a sample bipartite graph
G = nx.Graph()
G.add_edges_from([(1, 'a'), (1, 'b'), (2, 'b'), (2, 'c'), (3, 'c'), (3, 'd')])

# Define one set of nodes (top nodes)
top_nodes = {1, 2, 3}

# Compute the closeness centrality for the nodes
# in the bipartite network
bipartite_closeness = bipartite.closeness_centrality(G, nodes=top_nodes)
print(bipartite_closeness)
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