Hi,
On Wed, Jul 2, 2014 at 5:56 AM, Jonas Richhardt <jonas.richha...@gmx.de> wrote:
> Hi,
>
> Fist of all I use the igraph package in R.
> I struggle with the betweeness centrality funciton. First question is does
> that function resbects the weights of a graph.
> I think it does not. If i use the general formula to calculate the
> betweeness centrality with the betweeness for the single knotes my results
> differ form what the
> betweeness centrality function returns.
>
> #### begin code
>
> patchmat =
> cbind(c(0,0,0,0,0,1),c(0,0,1,0,0,0),c(0,1,0,0,0,1),c(0,0,0,0,1,1),c(0,0,0,1,0,1),c(1,0,1,1,1,0))
> for (row in seq (1:6)){ ### some sort of normalising
> patchmat[row,] <- dat.raw[row,]/sum(dat.raw[row,])
> patchmat = matrix(data = patchmat, ncol = 6, nrow = 6)
> }
Error: object 'dat.raw' not found
>
> graph <- graph.adjacency(as.matrix(patchmat), mode="directed",
> weighted=TRUE) ### here we transform the adjacency matrix
> into a graph-object
>
> betweenness(graph, v=V(graph), directed = TRUE, normalized = TRUE) ###
> returns 0.72
>
> ### but using the general formula
> 6*max(betweenness(graph, v=V(graph), directed = TRUE, normalized =
> TRUE))-sum(betweenness(graph, v=V(graph), directed = TRUE, normalized =
> TRUE)) ### returns 3.6
I am not sure why you expect 6 times the maximum betweenness to be
exactly equal to the sum all betweenness scores. What is the result
that you expect here and why?
Gabor
>
> #### end code
>
> Please help me to understand what happens here. The results differ by a
> factor of 5.
>
> Thanks in review
> Jonas
>
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