<｜begin▁of▁sentence｜>### Instruction:
Given an undirected graph with the edge set [(1, 2), (2, 3), (3, 4), (4, 1), (2, 4)], how can NetworkX be used to compute the edge connectivity between nodes 1 and 3 by creating an auxiliary graph?
### Response:
import networkx as nx

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

# Generate the auxiliary graph for edge connectivity
H = nx.algorithms.connectivity.edge_augmentation.build_auxiliary_edge_connectivity(G)

# Now H can be used with networkx maximum_flow to find edge connectivity
flow_value, flow_dict = nx.maximum_flow(H, '1', '3')

print('The edge connectivity between node 1 and 3 is:', flow_value)
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