<｜begin▁of▁sentence｜>### Instruction:
As a media buyer, you're tasked with securing advertising space or time to maximize the exposure of your clients' marketing campaigns. Suppose you're working on a campaign for a client launching a new product, and you want to explore innovative ways to reach potential customers. You've decided to leverage network analysis to identify influential nodes within a network of potential advertising channels.

To achieve this, you're considering using the Tree_Game function provided by igraph's GraphBase module with Wilson's algorithm. This algorithm generates a random undirected tree, which could represent the network of advertising channels. Once generated, you plan to examine the edges of the tree to determine the connections between various advertising platforms.

Before proceeding, you need to understand how to utilize the Tree_Game function to create the tree and extract its edges. This will enable you to analyze the potential reach and effectiveness of different advertising channels for your client's campaign.
### Response:
import igraph as ig

# Choose the number of vertices for the tree
tree_vertices = 10

# Generate a random tree using Wilson's algorithm (LERW)
random_tree = ig.Graph.Tree_Game(n=tree_vertices, directed=False)

# Print the edges of the generated tree
print(random_tree.get_edgelist())
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