<｜begin▁of▁sentence｜>### Instruction:
Given an undirected graph with edges [('A', 'B'), ('B', 'C'), ('A', 'C'), ('C', 'D')], if we add a new edge ('D', 'E'), how can we update the closeness centrality for all nodes incrementally using NetworkX?
### Response:
import networkx as nx

# Create an undirected graph
G = nx.Graph()

# Add edges
G.add_edges_from([('A', 'B'), ('B', 'C'), ('A', 'C'), ('C', 'D')])

# Compute the initial closeness centrality for all nodes
initial_cc = nx.closeness_centrality(G)

# Add a new edge
G.add_edge('D', 'E')

# Compute the incremental closeness centrality for all nodes
updated_cc = nx.incremental_closeness_centrality(G, edge=('D', 'E'), prev_cc=initial_cc)

print(updated_cc)
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