import numpy as np def pagerank(M, num_iterations=100, d=0.85): N = M.shape[1] v = np.random.rand(N, 1) v = v / np.linalg.norm(v, 1) iteration = 0 while iteration < num_iterations: iteration += 1 v = d * np.matmul(M, v) + (1 - d) / N return v
import numpy as np def pagerank(M, num_iterations=100, d=0.85): N = M.shape[1] v = np.random.rand(N, 1) v = v / np.linalg.norm(v, 1) iteration = 0 while iteration < num_iterations: iteration += 1 v = d * np.matmul(M, v) + (1 - d) / N return v