<｜begin▁of▁sentence｜>### Instruction:
Given parameters n=5 (number of nodes), m=3 (number of attributes), k=2 (size of attribute set), and using a fixed seed (seed=42), how can you create and visualize a random intersection graph where each node has an attribute set of size k, using NetworkX?
### Response:
import networkx as nx

# Create a random intersection graph
n = 5  # Number of nodes
m = 3  # Number of attributes
k = 2   # Size of attribute set

# Use a fixed seed for reproducibility
seed = 42

# Generate the graph
G = nx.generators.intersection.k_random_intersection_graph(n, m, k, seed=seed)

# Draw the graph
nx.draw(G, with_labels=True)
<|EOT|>
