<｜begin▁of▁sentence｜>### Instruction:
In the midst of planning your next podcast episode on the intricacies of digital networking, you consider creating an engaging visual aid for your listeners—a graphic that illustrates the interconnectedness of topics and guests. As you brainstorm, you decide to use NetworkX to model the relationships as a graph. You've outlined a simple network structure featuring connections, or 'edges', between points, or 'nodes', labeled 'A', 'B', and 'C'. The connections established are as follows: 'A' is linked to 'B', 'B' is linked to 'C', and 'A' is also directly linked to 'C'.

For the graphical part of your episode's supplemental materials, could you tell us how you might go about retrieving and displaying all the existing connections in your NetworkX graph? This would ensure your listeners can follow along with the visual representation of the network while they tune into your podcast's narrative on digital relationships.
### Response:
import networkx as nx

# Create a graph
G = nx.Graph()
G.add_edges_from([('A', 'B'), ('B', 'C'), ('A', 'C')])

# Show edges of the graph
for edge in nx.show_edges(G):
    print(edge)
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