<｜begin▁of▁sentence｜>### Instruction:
Consider a simple undirected graph with 3 nodes, where node 1 is connected to nodes 2 and 3, but there is no direct connection between node 2 and 3. How would one use the 'to_laplacian' function from the 'graspologic' library to convert the graph's adjacency matrix into a Degree Adjusted Laplacian (DAD) form for further analysis on the graph's structure?
### Response:
import numpy as np
from graspologic.utils import to_laplacian

# Adjacency matrix of the graph
a = np.array([
   [0, 1, 1],
   [1, 0, 0],
   [1, 0, 0]])

# Convert adjacency matrix to Laplacian with the DAD form
laplacian_matrix = to_laplacian(a, form='DAD')
print(laplacian_matrix)
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