***** To join INSNA, visit http://www.insna.org *****
<<<-------- 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
> 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
> 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.
Vladimir Batagelj, University of Ljubljana, FMF, Department of Mathematics
Jadranska 19, 1000 Ljubljana, Slovenia
SOCNET is a service of INSNA, the professional association for social
network researchers (http://www.insna.org). To unsubscribe, send
an email message to [log in to unmask] containing the line
UNSUBSCRIBE SOCNET in the body of the message.