<｜begin▁of▁sentence｜>### Instruction:
Imagine you're in the process of designing the lighting for a new theater production, and you have a conceptual schematization where different lighting elements are connected in a sequence that mirrors the narrative flow of the performance. Envision a basic lighting plot where the elements are represented by points (nodes), and the transitions or sequences between these elements are represented by connections (edges) between the points. 

Your lighting plot sketch currently consists of four key lighting elements with connections laid out as follows:

- Element 1 transitions to Element 2
- Element 2 transitions to Element 3
- Element 3 transitions to Element 4
- Element 1 transitions directly to Element 4

This forms a kind of network of lighting elements. What we're interested in now is a related concept in the world of design—something akin to a "Line Lighting Plot." This new plot doesn't focus on the elements themselves but on the transitions between them. Each transition becomes a point in its own right, and connections between transitions reflect where they share a common lighting element in your original design.

Could you sketch out this "Line Lighting Plot" for us, detailing the new points (transition-centric rather than element-centric) and the new connections (showing shared elements) based on the original transitions you have provided? Let's see how this translated plot could offer a different perspective on the lighting sequences for your theatrical endeavor. 

(No need to craft or alter any actual scenario execution; please just elaborate on the conceptual arrangement using the information provided.)
### Response:
import networkx as nx

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

# Generate the line graph
L = nx.line_graph(G)

# Print the edges of the line graph
print(list(L.edges()))

# Additional: to show how it relates to the original graph,
# we can print the nodes of the line graph, which correspond to edges of 'G'
print(list(L.nodes()))
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