<｜begin▁of▁sentence｜>### Instruction:
Imagine you are working on an exhibit at a nature center that showcases the interconnections within two distinct ecosystems, depicted by networks of relationships among various species. The first network is represented by a map we'll call "Ecosystem G," with pathways marked as connections (0,1), (0,2), (1,2), and (1,3), suggesting relationships like predator-prey, symbiosis, or competition between species at these corresponding points. The second network, "Ecosystem H," displays a different set of interactions with connections (0,1), (1,2), and (0,3).

To create a new, engaging exhibit that highlights the unique relationships that each ecosystem possesses, we need to construct a visual representation of a third network. This network should only include those pathways representing relationships that are exclusive to either Ecosystem G or Ecosystem H, without the paths they have in common. We must ensure that the species involved (nodes) remain consistent across the three networks to accurately represent the biota in the ecosystems.

Could you provide a map for the new exhibit, "Ecosystem Differences," that demonstrates these unique ecological connections, keeping the node set the same? Please note that this new network should be based on the non-overlapping pathways from "Ecosystem G" and "Ecosystem H."
### Response:
import networkx as nx

# Create two graphs G and H
G = nx.Graph([(0, 1), (0, 2), (1, 2), (1, 3)])
H = nx.Graph([(0, 1), (1, 2), (0, 3)])

# Calculate the symmetric difference
R = nx.symmetric_difference(G, H)

# Print the nodes and edges of graph R
print('Nodes in R:', R.nodes())
print('Edges in R:', R.edges())
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