#18834: Use Sage to compute clustering coefficient
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Reporter: | Owner:
ncohen | Status: needs_review
Type: | Milestone: sage-6.8
enhancement | Resolution:
Priority: major | Merged in:
Component: graph | Reviewers:
theory | Work issues:
Keywords: | Commit:
Authors: | 6274bff716b13f4ef7b3e1745d8dcbf761336826
Nathann Cohen | Stopgaps:
Report Upstream: N/A |
Branch: |
u/ncohen/18834 |
Dependencies: |
#18811 |
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Comment (by dcoudert):
On a clique that's for sure, but on other kinds of graphs...
{{{
sage: g = graphs.RandomBarabasiAlbert(1000,2)
sage: %timeit _=g.clustering_coeff(implementation="boost")
1000 loops, best of 3: 1.9 ms per loop
sage: %timeit _=g.clustering_coeff(implementation="dense_copy")
100 loops, best of 3: 7.34 ms per loop
sage: %timeit _=g.clustering_coeff(implementation="sparse_copy")
100 loops, best of 3: 13.9 ms per loop
sage: %timeit _=g.clustering_coeff(implementation="networkx")
100 loops, best of 3: 19.3 ms per loop
sage: g = graphs.RandomBarabasiAlbert(10000,2)
sage: %timeit _=g.clustering_coeff(implementation="boost")
10 loops, best of 3: 38 ms per loop
sage: %timeit _=g.clustering_coeff(implementation="dense_copy")
10 loops, best of 3: 143 ms per loop
sage: %timeit _=g.clustering_coeff(implementation="sparse_copy")
10 loops, best of 3: 148 ms per loop
sage: %timeit _=g.clustering_coeff(implementation="networkx")
1 loops, best of 3: 248 ms per loop
}}}
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Ticket URL: <http://trac.sagemath.org/ticket/18834#comment:11>
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