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<<<-------- John McCreery-------->>>
> Dear Colleagues,
>
> The sociological problem is as follows. Two individuals sometimes work
> together on project teams. At one extreme, they always work together on
> the
> same teams; thus, the k1 neighbors in their ego networks are, except for
> each other, identical. At the other extreme, they work together only once,
> on one particular team; thus, the k1 neighbors in their ego networks
> differ.
> But how much do they differ. I am proposing to explore this issue using
> Jaccard coefficients to quantify the overlap between ego networks. I find
> myself in a situation I often encounter; I am working out a hack using
> Filemaker Pro, where my data is stored, and Pajek, which is my go-to tool
> for network analysis. I suspect that I am reinventing a wheel that already
> exists or unaware of a better approach to the basic problem—comparing the
> overlaps in pairs of networks.
>
> I would be very grateful, indeed, for helpful advice.

  See page 35 in the Pajek's manual.

  Vlado
-- 
Vladimir Batagelj, University of Ljubljana, FMF, Department of Mathematics
  Jadranska 19, 1000 Ljubljana, Slovenia
http://vlado.fmf.uni-lj.si

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