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Re: Structural data based on actor attributes

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Mon, 14 Oct 2002 08:35:07 -0700

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 ```***** To join INSNA, visit http://www.sfu.ca/~insna/ ***** if the model were { O(i) * O(j) } / O you would have the beginnings of the classic model for independence (seen in the chi-square test and the loglinear model for independence). departures from independence can also be modeled in the loglinear framework. networkers often these models for local (egocentric) data analysis. pairing based on attributes is a traditional network interest, but with this type of influence the dyads remain independent. in that sense, it is not like most network modeling. best, Martina On Mon, 14 Oct 2002, Carl Nordlund wrote: > ***** To join INSNA, visit http://www.sfu.ca/~insna/ ***** > > Dear all, > > When studying the 'World City Network', Peter Taylor has specified a > technique for obtaining structural data which is based on actor attributes > (Research bulletin 23, GaWC, also published in Geographical Analysis 33(2), > 2001). He uses a formula like this one: > > C(i,j) = O(i) * O(j) > > ...where C(i,j) is the total connectivity between actor i and j and where > O(i) and O(j) are total number of TNC offices of actor i respectively j. > > In short, what is done here is an estimation of the structural value between > dyads based on internal attributes of the actors. If city i has 2 offices > and city j has 3 offices, the structural connectivity value between i and j > is set to 6, thus implying the total number of links between these two > actors. > > Is this a common way of fetching structural data, i.e to use actor > attributes like this? Intuitively, what regards Taylor's study, it feels > like a reasonable good approximation of the structural data but when it is > only based on actor-internal attributes, I also get the feeling that it > isn't following a very 'networkish' style! > > Yours, > Carl > ----- > Carl Nordlund, BA, PhD student > carl.nordlund(at)humecol.lu.se > Human Ecology Division > www.humecol.lu.se > > _____________________________________________________________________ > SOCNET is a service of INSNA, the professional association for social > network researchers (http://www.sfu.ca/~insna/). To unsubscribe, send > an email message to [log in to unmask] containing the line > UNSUBSCRIBE SOCNET in the body of the message. > ****************************************************************  Blumstein-Jordan Professor of Sociology and Statistics  Department of Sociology  Box 353340  University of Washington  Seattle, WA 98195-3340 Phone Numbers:  Office: (206) 685-3402  Dept Office: (206) 543-5882  Fax: (206) 616-2093 email: [log in to unmask] _____________________________________________________________________ SOCNET is a service of INSNA, the professional association for social network researchers (http://www.sfu.ca/~insna/). To unsubscribe, send an email message to [log in to unmask] containing the line UNSUBSCRIBE SOCNET in the body of the message.```