<｜begin▁of▁sentence｜>### Instruction:
Using NetworkX, how can you generate a Waxman random graph with 50 nodes, where each node's position is determined by the default Euclidean metric, and then plot this graph? The alpha and beta parameters should be set to 0.4 and 0.1, respectively, with a random seed to ensure reproducibility. Additionally, how can you access the position of these nodes after the graph is created?
### Response:
import networkx as nx
import random

# Set up the random seed if you want the results to be reproducible
random_seed = 42
random.seed(random_seed)

# Use the Waxman graph generator
G = nx.waxman_graph(n=50, alpha=0.4, beta=0.1, L=None,
                    domain=(0, 0, 1, 1), metric=None, seed=random_seed)

# Access the position of a node
pos = nx.get_node_attributes(G, 'pos')

# Plot the graph
import matplotlib.pyplot as plt
nx.draw(G, pos, node_size=20)
plt.show()
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