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Vaughan, maybe your data contain edge weights (e.g., tie strengths). In that
case, centralization is not constrained to 0 to 1 interval. The situation is
analogous to computing density. Density can be seen as the average value in
a graph's adjacency matrix. This average is between 0 and 1 when matrix
entries are 0s or 1s. When there are other values, the average is not
----- Original Message -----
From: "Vaughan" <[log in to unmask]>
To: <[log in to unmask]>
Sent: Tuesday, January 13, 2004 9:51 AM
Subject: Centrality / Centralization
> ***** To join INSNA, visit http://www.sfu.ca/~insna/ *****
> Hello Socnetters,
> I'm trying to find the best way of calculating a centrality /
> value for my whole network.
> I'm a little confused as to the distinction between group degree
> centralization (ala Wasserman and Faust, p180) and network degree
> measures (as calculated by UCINET via "Network -> Centrality -> Degree").
> I initially assumed that the measure of 'Network Centralization' given as
> percentage on UCINET was equivalent to the group degree centralization
> index. However, I notice that the 'Network Centralization' measure can go
> above 100%.
> If these aren't the same thing: what does 'Network Centralization' measure
> And is it possible to calculate group degree centralization on UCINET ?
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