[statnet_help] Inquiry about eigenvector centrality normalization in sna package

[CHU-DING LING via statnet_help]

Dear Carter and all,



I hope this email finds you well. I'm writing to discuss the normalization
of eigenvector centrality scores in the *sna* package.



After reviewing the documentation, I saw that when ‘rescale=TRUE’ is used,
the 1-norm is applied for normalization. However, for the default setting
of ‘rescale=FALSE’, the documentation does not specify the normalization
method.



Since the choice of normalization method can significantly affect
centralization calculations based on eigenvector centrality, I believe it
would be helpful to clarify this in the documentation. Is the Euclidean
norm used when ‘rescale=FALSE’, or could this be a side effect of the
eigenvector computation method?



For reference, there is an ongoing discussion on this topic in the
following thread: [
https://igraph.discourse.group/t/clarification-on-eigenvector-centralization-calculation-in-igraph/1867/2].
Your insights would be greatly appreciated and could help improve
consistency and clarity in network analysis tools across the R ecosystem.



Thank you for your time and consideration.



Best regards,

Chuding
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