What you have shown are the eigenvalues not the eigenvector scores. Scroll down further to see the centrality values.
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On 7 Feb 2022, at 19:18, Steve Borgatti <sborgatti@...> wrote:
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Aakanksha, if you like, send me your data (sborgatti@...) and I will see if there is anything wrong. If you send the ucinet dataset, don¡¯t forget to include both the
##h and ##d files. Or send the edgelist.
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steve
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Hi Steve,?
I did as you suggested but unfortunately, the eigen vector centrality measures are completely out of the range, for example, for node number 1 it is something like 20.something like this:
? ? ? ? ? ?Eigenv Pct Va Cum Pc?
? ? ? ? ? ? ?alue riance? ? ? t?
? ? ? ? ? ?------ ------ ------?
? ? ? ? ?1 20.049? 5.067? 5.067?
? ? ? ? ?2? 7.832? 1.979? 7.046?
? ? ? ? ?3? 5.775? 1.459? 8.505?
? ? ? ? ?4? 3.447? 0.871? 9.376?
? ? ? ? ?5? 3.162? 0.799 10.175?
? ? ? ? ?6? ? ? 3? 0.758 10.934?
? ? ? ? ?7? ? ? 3? 0.758 11.692?
? ? ? ? ?8? ? ? 3? 0.758 12.450?
? ? ? ? ?9? 2.767? 0.699 13.149?
? ? ? ? 10? 2.709? 0.685 13.834?
? ? ? ? 11? 2.709? 0.685 14.518?
? ? ? ? 12? 2.709? 0.685 15.203?
? ? ? ? 13? 2.558? 0.646 15.849?
? ? ? ? 14? 2.499? 0.632 16.481?
Seems completely odd, I also want to know how can i calculate network level and cluster level measures?
Thanks, Aakanksha
