Created
February 28, 2009 03:43
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#!/usr/bin/env python | |
# HITS (on memory) | |
# using von Neumann kernel | |
from numpy import * | |
from numpy import ones | |
from numpy.linalg import * | |
STEP = 500 | |
class HITS(): | |
def __init__(self, adj_matrix): | |
self._adj = adj_matrix | |
def calc_vnk(self): | |
cit_matrix = dot(self._adj.T, self._adj) | |
sz = size(cit_matrix[0]) | |
beta = 1. / sorted( eigvals( cit_matrix ), reverse=True )[0] -0.001 | |
mul_tmp = beta * cit_matrix | |
tmp = mul_tmp | |
ret = ones( (sz,sz) ) + mul_tmp | |
for i in range(STEP): | |
tmp = dot(tmp, mul_tmp) | |
ret += tmp | |
return dot(cit_matrix, ret) | |
adj = array( ((0, 0, 1, 1), | |
(0, 0, 1, 1), | |
(1, 1, 0, 0), | |
(0, 1, 1, 0)) ) | |
hits = HITS(adj) | |
matrix = hits.calc_vnk() | |
print "matrix:" | |
print matrix | |
print "auth:", matrix[0,:] |
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