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I'm working with directed, weighted network data for which outdegree
centralization is the desired measure. The analysis uses R's sna
package and I've been looking at the R code for the degree function,
which underlies the centralization function. I found that the degree
centralities are computed by summing edge values as opposed to
counting them, which I take to mean that dichotomized data is assumed
as the input. However, the way that the functions are written allows
the centralization to be calculated on a weighted network, with the
sums of the edge weights used in place of the number of edges.
We plan to dichotomize the input data based on thresholds, but if the
weighted network data were not dichotomized, how might one interpret
the resulting centralization statistic? References for studies that
work with weighted networks are also welcome.
PhD Student, School of Information Studies
337 Hinds Hall
Syracuse, NY 13244
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