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hi hana,
                    pajek is set up to handle temporal network data in a
nice way.
with best wishes
pat


--On Friday, January 28, 2005 12:38 PM -0500 "Milanov, Hana"
<[log in to unmask]> wrote:

> *****  To join INSNA, visit http://www.insna.org  *****
>
> Dear all,
>
> I am a complete novice in network analysis, and at my very beginning of
> using UCINET software. I was wandering if anyone could help me with
> inputting and handling data in the program - namely, I have a
> longitudinal dataset of some 14000 alliances in a 20 year time span
> (thus, non-directed ties). The data is in Excel now, and listed in the
> following manner:
>
>
>
> Year of alliance              partner1            partner2
> partner3 and so on
>
> 1980                             xxx                   yyy
>
>
> 1980                             xxx                   aaa
> zzz
>
>
>
> the problem (or not?) is that in the same data:
>
> 1.      some companies formed multiple alliances (with different
> partners) in the same year (so we have them as a special entry, as in
> the example above
> 2.      some companies have multiple partners in ONE alliance in ONE
> year, although rare cases; most of them have just one partner per
> alliance
>
>
>
> our interest is getting degree centrality (for a start) measures for
> each company for each year. Could you give me any guidance regarding the
> best way to input the data into UCINET, and the possibility of using
> centrality measures (I am not sure if UCINET in the process of creating
> a matrix would interpret some of the above as missing data, as most of
> the companies have 1 partner, but I cannot get rid of those having
> multiple partners. Also, should I perform any matrix transformations or
> such prior to centrality measures?)
>
> another problem is that some of the companies are not only linked to one
> another via alliances, but also have their own subsidiaries as part of
> the network data. I believe we should code that somehow as
> parent-subsidiary ties are important (and stronger!) but I am not sure
> how to approach that.
>
>
>
> I know I am full of questions, and probably did not make it clear what
> exactly the problem is, but if anyone could help me, I could email part
> of the data for easier communication. Thank you!!!!
>
>
>
> Hana.
>
>
>
> [log in to unmask]
>
>
>
>
>
>
>
> Hana Milanov
>
> PhD Student
>
> Management Department - BU630A
>
> Kelley School of Business
>
> home phone: 812-333-7285
>
>
>
> _____________________________________________________________________
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patrick doreian
professor and chair
department of sociology
2406 WWPH
university of pittsburgh
Phone: (412) 648-7584
Fax:       (412) 648-2799
email: [log in to unmask]
            [log in to unmask] (for the journal of mathematical sociology)

_____________________________________________________________________
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