Betweenness Centrality – Normalized

[Keivan Baboli]

Hello,

I’m currently using Braph for brain network analysis and have a question about the betweenness centrality measure. In the results produced by Braph, is the betweenness centrality measure normalized?

If the betweenness centrality is indeed normalized, could you please provide some details about the normalization procedure or direct me to the appropriate section in the user manual or documentation?

Thank you in advance for your help.

Best regards,
Keivan

[Mite Mijalkov]

Dear Keivan,

Thank you for contacting us and for using Braph for your analysis.

The betweenness centrality in Braph has to option to provide both normalized and unnormalized values when used from the command line. However, if you are using the GUIs provided by Braph, then the default value is the normalized version.

The measure is normalized by the number of nodes. In particular,
BC_normalized = BC_unnormalized / ((N-1)*(N-2)),
where N is the number of nodes in the network.

Hope this helps. Please let me know if can do anything else to help.
Best wishes,
Mite

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