We made some Blockmodel - Analysis in 14 different Mailinglists. In most of
them we found a center periphery structure.
Unfortunately the publications are all written in german language.
recent a book - in the book there are some examples to get the time in
Christian Stegbauer, Grenzen virtueller Gemeinschaft. Strukturen
internetbasierter Kommunikationsforen. Wiesbaden: Westdeutscher Verlag.
(Borders in Virtual Communities. Structures in Internetbased
or for example, how we did it: Christian Stegbauer und Alexander Rausch,
1999, Ungleichheit in virtuellen Gemeinschaften (Inequality in Virtual
Communities) Soziale Welt 50: 93-110.
But I provide a web-site with some example ucinet .dl-files and some
software written in awk to produce them.
At 14:08 08.07.01 -0500, you wrote:
>Hello to all Networkers:
>I am using Social Network Analysis to detect and study cohesive subgroups
>in Usenet newsgroups. More specifically, I want to empirically test the fit
>of a core-periphery structure (Borgatti and Everett, 1999) since the "core"
>image is mentioned by several authors who have studied online community in
>newsgroups (Smith, 1999; Tepper, 1997; McLaughlin, Osborne and Smith,
>1994). I will use UCINET V to fit the model (Borgatti, Everett and Freeman,
>I am somewhat puzzled that I've found relatively few articles applying SNA
>to study participant interactions inside well-chosen (i.e. narrowly
>focused) Usenet newsgroups. I would have thought an online discussion group
>is a good place to empirically discover cliques!
>I list the references I've found below. Starting with Smith's really
>excellent article, most applications of SNA to Usenet focus on the
>crossposting links between different newsgroups, rather than the
>interactions of members of a single newsgroup (Smith, 1999; Donath,
>Karahalios and Viegas, 1999; Sack, 2000; Fisher, 2000). I also list the
>references I've found for the recently defined core-periphery network
>structure. If someone can suggest other relevant references, or drop a few
>useful hints (or warnings), I'd be most grateful.
>Since many authors of these research articles are regular readers of this
>list, I also want to use this opportunity to thank them for their work,
>which I promise to give full credit for!