<｜begin▁of▁sentence｜>### Instruction:
Using NetworkX, how can you generate a random graph with 100 nodes where each new node is attached with either 2 edges with a probability of 0.5 or 3 edges with a probability of 0.5 using the dual Barabási–Albert preferential attachment model?
### Response:
import networkx as nx

# Generate a dual Barabási–Albert graph
dual_BA_graph = nx.dual_barabasi_albert_graph(n=100, m1=2, m2=3, p=0.5, seed=42)

# Draw the graph
import matplotlib.pyplot as plt
nx.draw(dual_BA_graph, with_labels=True)
plt.show()
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