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Hello all

We have applied the Blondel community detection algorithm to a big set of co-
citation data in physics and got excellent results:

Wallace, Matthew L., Yves Gingras, Russell Duhon, «A new approach for detecting
scientific specialties from raw cocitation networks», JASIST, vol. 60, no 2,
2009, pp. 240-246.

The paper is also at:

http://arxiv.org/ftp/arxiv/papers/0807/0807.4903.pdf

happy New Year!

Yves Gingras


Surlignage Mason Alexander Porter <[log in to unmask]>:

> ***** To join INSNA, visit http://www.insna.org *****
>
> My first community detection e-mail of 2010... :)
>
> There are a couple of issues to consider based on the question asked. One
> is how to construct communities in the first place, and then there's your
> cohesiveness measure. One thing that I'd strongly suggest is to do your
> cohesiveness calculations using multiple methods of defining communities
> to see how much things change. The results might not be robust with
> respect to your definition (they probably won't be), so you're going to
> need to be careful. The G-N betweenness-based method isn't going to be
> your best choice (as has been pointed out), though the issue is
> significantly broader than an implied one (from earlier in this thread)
> about the application context of the network you're studying. It tends to
> have trouble with highly-clustered networks, for instance.
>
> In terms of which method to use, I can make further comments (I tend to be
> a bit opinionated about this particular area), but aside from any private
> correspondence with further details, let me just add a couple of hopefully
> helpful articles to the mix:
>
> 1. I'll advertise my own survey/review article on community structure in
> networks, which I think is a good place to get started on the topic
> (obviously, I'm very biased about this) and see the layout of the land:
>
> http://people.maths.ox.ac.uk/~porterm/papers/comnotices.pdf
>
>
> 2. The article in (1) is a survey and as you're actually doing the
> calculations, I think you'll also want to go to the following encyclopedic
> review by Fortunato:
>
> http://arxiv.org/abs/0906.0612
>
> (you might want to check if the published version of this is now out; it
> will come out pretty imminently)
>
>
>
> I think my article is pretty user-friendly, so usually I recommend
> starting there and then getting into the more technical articles.
>
> As I mentioned, I'm happy to provide more info (and several of the
> previous e-mails mentioned lots of good stuff), so let me know.
>
> -----
> Mason
>
> ----------------------------------------------------------------------------
> Mason A. Porter
> University Lecturer (and Tutorial Fellow, Somerville College)
> Oxford Centre for Industrial and Applied Mathematics
> Mathematical Institute, University of Oxford
>
> Homepage: http://www.maths.ox.ac.uk/~porterm, IM: tepid451
> Blog: http://masonporter.blogspot.com/
> ----------------------------------------------------------------------------
> "I don't know. Maybe the knowledge of asymptotic analysis will lead
> to less starvation among African children?"
>
> --- Me, in an early draft of a grant proposal when asked to address
> how the project will help with the socio-economic
> development of third-world countries
> ----------------------------------------------------------------------------
>
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