<｜begin▁of▁sentence｜>### Instruction:
Given a graph with an edge set [(1, 2), (1, 3), (2, 3), (2, 4), (3, 4)], compute the edge load centrality, which reflects the number of shortest paths that cross each edge in the network. The goal is to understand the significance and usage of edges in terms of facilitating shortest paths within the graph.
### Response:
import networkx as nx

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

# Compute edge load centrality
edge_load = nx.edge_load_centrality(G)

print(edge_load)
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