[Air-L] query: simple web link cluster software?

Robert Ackland robert.ackland at anu.edu.au
Thu Nov 11 03:31:15 PST 2010


Hi - I've been waiting almost an hour now and no-one has chimed in 
yet, so...I guess I'll have to do it myself!  VOSON 
(http://voson.anu.edu.au) might suit your purpose.

There are two versions: VOSON System is a web app, while VOSON+NodeXL 
is a plugin to NodeXL (http://nodexl.codeplex.com), a social media 
network analysis tool for Excel 2007.

Academic users can access VOSON System and VOSON+NodeXL for free via a 
service provided by the ANU.  Non-academic users can also currently 
access both tools for free via a service provided by Uberlink 
Corporation (http://www.uberlink.com.au).  There are some training 
videos available for VOSON System and we are working on one for 
VOSON+NodeXL.

Rob

-------------------------------------
Dr Robert Ackland
Fellow and Masters Coordinator, Australian Demographic and Social 
Research Institute, The Australian National University

e-mail:   robert.ackland at anu.edu.au
homepage: http://adsri.anu.edu.au/people/robert.php
project:  http://voson.anu.edu.au

Information about the Master of Social Research
(Social Science of the Internet specialisation):
http://adsri.anu.edu.au/study/msr.php
-------------------------------------


Jesper Aagaard Petersen wrote:
> Hello all.
> 
> I have to do a presentation of what I have dubbed the satanic milieu online,
> something I have mainly dealt with offline and on a case-by-case basis. As a
> historian of religions, I have little practical knowledge about statistical
> representation software, but I just had the idea of making a simple cluster
> or cloud representing sites and links and so visualizing relations between
> sites. This is probably way to simple for avantgarde internet research, but
> it will actually push the history of religions forward quite a bit when it
> comes to studying ephemeral networks of alternative religiosity.
> 
> The end-product should be some kind of cluster map. Any tips for
> user-friendly programs? All tips will be appreciated, but webbased and/or
> free downloads will of course be the best.
> 
> Best,
> 
> Jesper Petersen, Norwegian University of Science and Technology.
> 
> 



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