def compute_zscores(self):
self.zscores = numpy.zeros(13)
for mtf_num in xrange(1, 14):
tricode = net_subs.num2tricode[mtf_num]
self.zscores[mtf_num - 1] = stats.compute_zscore(
self.mtf_counts.get(tricode, 0.0),
[rnd.mtf_counts.get(tricode, 0.0) for rnd in\
self.random_graphs])
def compute_tsp(self):
if not self.mtf_counts:
self.mtf_counts = net_subs.triadic_census(self)
zscores = numpy.zeros(13)
for mtf_num in xrange(1, 14):
tricode = net_subs.num2tricode[mtf_num]
zscores[mtf_num - 1] = stats.compute_zscore(
self.mtf_counts.get(tricode, 0.0),
[rnd.mtf_counts.get(tricode, 0.0) for rnd in\
self.random_ensemble])
return zscores