<｜begin▁of▁sentence｜>### Instruction:
Imagine you are cultivating a variety of plants in your hydroponic farm and each plant type requires a specific sequence of nutrient solutions. Think of this as a directed flow, where the first plant type (node 1) can lead to the second (node 2) or third (node 3) type, depending on which nutrient solution is applied. From node 2, you can only move to node 5, and from node 3, you can transition to node 4, which in turn can also lead to node 5 when the appropriate solution is added.

In this nutrient flow network, represented by connections [(1, 2), (1, 3), (2, 5), (3, 4), (4, 5)], you're interested in understanding the critical points—let's call them 'Dominance Junctions'—for each plant type. These are the points where a change in the nutrient solution could affect multiple types of plants downstream. You're curious about these junctions starting with the very first plant type in your sequence.

Could you visualize this network using NetworkX and figure out the 'Dominance Junctions' for each type of plant in your hydroponic system, starting from the first type? This knowledge will help you optimize the nutrition flow and ensure that your plants thrive.
### Response:
import networkx as nx

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

# Compute the dominance frontiers
dominance_frontiers = nx.dominance_frontiers(G, 1)

# Display the dominance frontiers
for node, frontiers in sorted(dominance_frontiers.items()):
    print(f'Node {node}: Dominance Frontiers: {sorted(frontiers)}')
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