Hi Bob,
On Mon, Oct 22, 2012 at 11:28 AM, Bob Pap <[email protected]> wrote:
[...]
> alpha.centrality(g, weights = NULL)
>
> alpha.centrality(g)
>
> I get the same result (according to the help file I should not). When I try
The help file says:
weights: A character scalar that gives the name of the edge attribute
to use in the adjacency matrix. If it is ‘NULL’, then the
‘weight’ edge attribute of the graph is used, if there is
one. Otherwise, or if it is ‘NA’, then the calculation uses
the standard adjacency matrix.
So indeed, the results will be the same.
> alpha.centrality(g, weights = "weight")
>
> I get the same plus the error (even though it should not):
>
> Warning message:
>
> In alpha.centrality.sparse(graph, nodes, alpha, loops, exo, weights, :
>
> NAs introduced by coercion
This is a bug, thanks for the report, I have already fixed it in the
development tree.
Best,
Gabor
[...]
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