<｜begin▁of▁sentence｜>### Instruction:
Imagine you're examining two distinct cultural networks that have formed among a community. The first network, G, represents a series of connections or relationships visualized with connections or 'bridges' between individuals 0 & 1, 0 & 2, 1 & 2, and 1 & 3. The second cultural network, H, demonstrates different relationships with its own unique set of bridges between persons 0 & 1, 1 & 2, and 0 & 3. We are interested in uncovering an exclusive pattern—a third network that would display only the unique bridges that are not shared between the two networks, essentially highlighting the differences in the interactions.

Can we conceptualize and construct this third cultural map, taking the shape of a new network that includes exclusively those unique connections that are present in either network G or H, but not in both, assuming of course that the members of the community (the nodes) are consistent across both originally studied networks? This would require scrutinizing the edges from the provided data and determining which ones are exclusive to each network, thereby illustrating a new pattern of exclusive interactions. 

This task would involve analyzing the connectivity data provided and is akin to creating a new, insightful diagram for a paper or presentation that aims to visualize the exclusive cultural ties within the community.
### Response:
import networkx as nx

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

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

# Print nodes and edges of the resulting graph
print(R.nodes)
print(R.edges)
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