<｜begin▁of▁sentence｜>### Instruction:
As an aerospace engineer, you're working to design a new advanced communication network for a fleet of drones. You propose a network architecture based on a small-world graph to ensure efficient and robust communication between the drones. The network will have a grid-like structure reflecting a 3x3 formation of the drones (total 9 drones). Each drone is directed to maintain a communication link with its immediate neighbors (distance 1 in the formation grid). Furthermore, each drone is expected to establish two long-range connections following a chance that diminishes with the square (r=2) of the lattice distance. All these connections are to be in a two-dimensional plane (dim=2) to reflect the real-world operating environment of the drones. 

Now, the question that comes to mind is, if we simulate this small-world network, what would the communication links (edges) between the drones look like? And what would be the maximum number of hops (diameter) a communication signal needs to make from one drone to the farthest drone in the formation? This would impact the latency and the efficiency of the communication network. How can we determine these factors from the given graph properties?
### Response:
import networkx as nx

# Generate a navigable small-world graph
G = nx.navigable_small_world_graph(n=3, p=1, q=2, r=2, dim=2, seed=42)

# Print the generated edges of the graph
for edge in G.edges():
    print(edge)

# Using the graph for analysis
diameter = nx.diameter(G)
print('Diameter of the navigable small-world graph:', diameter)
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