[Air-L] YouTube Data

[James Howison]

I think those tools are great.  I also think, though, that it's worth thinking through how the structures that you'll produce relate to the sort of networks that SNA metrics were developed for.  We've written a piece that tries to figure through the implications of analyzing networks drawn from different kinds of digital trace data, including linking the sort of processes that either produce the networks or happen over the networks with the typical SNA metrics. 

I'm sure that there's interesting stuff to be learned from network views of trace data on Youtube :) But lots to think about in terms of interactions vs relationships, temporal collapsing of data, meaning of non-links, survey vs sampling logic etc.

Howison, J., Wiggins, A., & Crowston, K. (2012). Validity Issues in the Use of Social Network Analysis with Digital Trace Data. Journal of the Association for Information Systems, 12(12). Available in 
PDF (http://james.howison.name/pubs/HowisonWigginsCrowstonValiditySNAJAIS.pdf)



Lots of references to great thinking on these questions from Borgatti, Monge and Contractor and others.
-- 
James Howison
Sent with Sparrow (http://www.sparrowmailapp.com/?sig)


On Friday, May 24, 2013 at 09:30 CDT, Alan Neustadtl wrote:

> You might also explore NodeXL (
> http://nodexl.codeplex.com/releases/view/104762), a free MS Excel add-in
> that has the ability to directly import networks from Youtube.
> 
> Best,
> Alan
> 
> 
> On Fri, May 24, 2013 at 5:02 AM, Main <cassian at hotmail.co.uk (mailto:cassian at hotmail.co.uk)> wrote:
> 
> > Have you tried Webometric Analyst? It's free software available from
> > Wolverhampton University. I've not played with the youtube function myself
> > but I have seen research which does similar things to the project you
> > describe. You will need to download the manual and I recommend Mike
> > Thelwall's work on webometrics to help make sense of the program.
> > 
> > Cassian
> > 
> > --- Original Message ---
> > 
> > From: "Megan Zahay" <meganzahay at gmail.com (mailto:meganzahay at gmail.com)>
> > Sent: May 23, 2013 10:54 PM
> > To: air-l at listserv.aoir.org (mailto:air-l at listserv.aoir.org)
> > Subject: [Air-L] YouTube Data
> > 
> > Hi everyone,
> > 
> > I have been lurking on the list for about a year now and really enjoying
> > the wealth of insights and information, but this is my first addition to
> > it. I am currently working on a project which would like to track the
> > network of some YouTube videos, so that includes things like referrals from
> > other videos, embedding videos on external sites, video comments, text
> > comments, etc. I would also like to use any demographic data available. Can
> > anyone inform me about the reliability of the statistics provided on
> > YouTube itself for each video, or point me in the direction of some
> > publications on the subject? Additionally, if anyone is aware of any
> > programs that would allow me to view the network between groups of videos
> > or research that has been done in this area I would be very appreciative.
> > 
> > Thank you in advance!
> > 
> > Megan Zahay
> > B.A. Arcadia University
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