Thanks for the hint, I tried that but it is the same runtime as on the
filtered graph.
Best, Philipp
On 27.07.2016 17:16, Tiago de Paula Peixoto wrote:
On 27.07.2016 17:06, Philipp Singer wrote:
g = gt.price_network(10000,10,directed=False)
%time gt.eigenvector(g)
def node_sample(g, g_vertices, n_samples):
return random.sample(g_vertices, n_samples)
sample = node_sample(g, [x for x in g.vertices()], 1000)
vfilt = g.new_vertex_property('bool')
for s in sample:
vfilt[s] = True
g_sample = gt.GraphView(g, vfilt=vfilt)
%time gt.eigenvector(g_sample)
If you want to check if the difference is due to graph filtering, you
can compare with:
u = gt.Graph(g_sample, prune=True)
gt.eigenvector(u)
Best,
Tiago
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