Hi,
from ?edge.betweenness.community:
...
weights: The edge weights. Supply ‘NULL’ to omit edge weights. By
default the ‘‘weight’’ edge attribute is used, if it is
present.
...
So, yes, if the edge weights are assigned as the 'weight' attribute,
then you don't need to supply them explicitly.
Gabor
On Tue, Oct 2, 2012 at 6:27 AM, 凌琛 <[email protected]> wrote:
> Hi Gabor,
>
> If I want to use the weighted edge betweenness community detection algorithm
> in R, is it enough to just use
>
> edge.betweenness.community(G)?
>
> Namely, it is no need to add arguments about edge weights in the graph.
> Thanks.
>
> Regards,
>
> chen
>
> On Sat, Sep 29, 2012 at 9:06 PM, Gábor Csárdi <[email protected]> wrote:
>>
>> On Sat, Sep 29, 2012 at 8:32 AM, 凌琛 <[email protected]> wrote:
>> > OK, so that if I use similarity of nodes as edge weights, I need to
>> > transform the weights (i.e., inverse) for detecting community.
>> > is that right?
>>
>> I think so, because when you calculate shortest paths, you want edge
>> weights to represent distances.
>>
>> Gabor
>>
>> [...]
>>
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>
>
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--
Gabor Csardi <[email protected]> MTA KFKI RMKI
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