Hi all,
I have a graph object 'g' with 14 nodes, edges are directed and weighted.
I would like to calculate centralization betweenness for the graph-level. If I
write the code for the centralization I get the following results:
> c <- centralization.betweenness(centrg, directed=TRUE)
> c
$res
[1] 0.2777778 4.7396825 2.1000000 0.9619048 3.4444444 0.3333333
7.5706349 8.3134921
[9] 2.0563492 0.1111111 1.9428571 3.7396825 10.6619048 6.7468254
$centralization
[1] 0.04746877
$theoretical_max
[1] 2028
For what I understand the node-level indexes should be the betweenness
calculated for each node? Is that right?
If yes, I want to check using the betweenness formula and I get the following:
z<- betweenness (g, directed =TRUE, weights= E(g)$weight)
> z
X.3. X.363. X.1807. X.1831. X.1841. X.1851. X.2034.
X.3736. X.4058.
18.4166667 0.3333333 15.0333333 14.2916667 4.0583333 0.6250000 5.1166667
6.0333333 13.8333333
X.4396. X.12882. X.13017. X.14075. X.14937.
8.3166667 24.6500000 4.0000000 11.4833333 17.9000000
where X.# are the codes for the nodes and 18.41.... etc the betweenness scores.
Can you help me interpret these results or to fix any mistake?
Also, what if I just want to get the $centralization using the centralization
formula as an output? I need to write just that value to compare multiple
networks.
thank you very much
Marko_______________________________________________
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