Thanks for the hint, I tried that but it is the same runtime as on the filtered graph.

Best, Philipp

On 27.07.2016 17:06, 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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