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Oops, I sent my response directly to the questioner but my response may
be of interest to others so here it is.

scott

On Sun, 16 Nov 2003 14:49:00 -0800, "scott white" <[log in to unmask]> said:
> I can't speak for the tools you mention, but if you have your graph in
> pajek format as it seems you do you can use JUNG to compute the degree
> distributions, clustering coefficient distributions, shortest path
> distributions, etc. and then you can export these distributions or
> statistics derived from them into a text file and then you can use any
> off-the-shelf statistical package such as Matlab, R, etc. to determine
> whether the network does in fact have small world or scale free network
> properties by first eyeballing the plots and later if more precise
> characterization is required doing some parameter fitting.
>
> scott
>
> Scott White
> PhD Student
> Information & Computer Science
> UCI
> [log in to unmask]
>
>
> On Sun, 16 Nov 2003 22:26:36 +0000, "Vaughan" <[log in to unmask]>
> said:
> > *****  To join INSNA, visit http://www.sfu.ca/~insna/  *****
> >
> > Hello everyone,
> >
> > I am currently analysing the interconnectedness of a sub-set of web sites
> > and have successfully coded the network and have a model which loads into
> > either Pajek, NetDraw or UCINET.
> >
> > I would like to find out whether the network I have is a small world or
> > scale free network (or neither), however it is not obvious to me which
> > analysis in any of these software packages would tell me this.
> >
> > I have a background in psychology, rather than graph theory or sociology
> > so
> > some of the literature is a little mysterious to me. I have papers which
> > define small world / scale free networks in mathematical terms but no
> > pointers as to how (and if) this is implemented in relevant software
> > packages.
> >
> > I have the Wasserman and Faust book ('Social Network Analysis') and two
> > Watts books ('Six Degrees' and 'Small Worlds') so would be equally as
> > happy
> > to receive pointers as to what to read as to what to do !
> >
> > Many thanks,
> > Vaughan Bell
> >
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