Graphs/Networks - Betweeness centrality

[rose coral]

I am reading this paper : https://ieeexplore.ieee.org/document/7845714 and trying to understand the values reported for the betweeness centrality metric.
So we have this multi layer graph structure, and we compute the betweeness according to these definitions where the "The betweeness centrality of a node is defined as the ratio of the number of shortest paths that go through this node, divided by the total number of shortest paths over all pairs of nodes." How are the following numbers obtained? It looks to me that the betweeness centrality of node 5 in the communication layer must be 2 since there are only two shortest paths that go through it 4->5->6 and 6->5->4.

Any help/insight would be greatly appreciated!

[lapis herald]

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[ancient thicket]

I've scanned over the paper and I'm also kind of confused by this, though I haven't had the chance to go too in-depth. Are they perhaps using a weird definition of "shortest"?

[rose coral]

They do mention they use Dijkstra to determine the shortest paths which is quite conventional.

The numbers, however, don't match the classical definition of betweeness centrality. They seem to be using some sort of scaling factor, otherwise I don't see how they could have obtained these results

Thanks for your input though!

[potent shale]

@rose coral

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[rose coral]

+close

[potent shale]

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[potent shale]

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