<｜begin▁of▁sentence｜>### Instruction:
In our quest to optimize the network topology for a new department's intranet within our organization, we've set specific requirements for the system's robustness. The team has agreed that each node (representing computer stations, for the purpose of our scenario) should have a redundancy factor of k=3, implying that the network remains intact even if any two connections fail. There are 8 workstations in total to incorporate into this scheme.

Given these parameters, we are exploring the creation of a Harary graph, which is known for achieving maximum node connectivity with the minimal number of links. To proceed with this task, I'm seeking to employ NetworkX to generate a graphical representation, showcasing the precise interconnections between the nodes of such a minimalistic yet reliable network arrangement.

Could you suggest how I might produce this Harary graph featuring the necessary high connectivity while maintaining the lowest possible quantity of links? After doing so, our next step will be to visualize the resulting edge configuration to better communicate this proposed infrastructure to the stakeholders involved. If this involves any specific reference data files such as a GML file, please include the filename in your guidance.
### Response:
import networkx as nx

# Create a Harary graph with node connectivity k and node number n
k = 3
n = 8
H = nx.hkn_harary_graph(k, n)

# Print the edges of the Harary graph
print('Edges of the Harary graph:', H.edges())
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