This is one reason that Johan Bollen and his crue at LANL did this work:

   http://www.nature.com/news/2009/090309/full/458135a.html

I am not positive but I think the distance metric being used in this work must be based on citations. It is fundamental to the process of publication, especially something as strongly scrutinized as one's PhD thesis, that one cites seminal works close to one's field.

Bollen, et al.s work was based on records of *usage*, read-wear on the Journal space, if you will. Citation maps reflect the biases of conservatism in publication while Usage maps have a chance of reflecting a more progressive, more exploratory view of the relationship among disciplines.

What I'm more interested in, is the run up to breakouts of one sub-discipline from it's parent's or the convergence of disparate disciplines.

The Visualization tool here is promising... I am a big fan of various forms of Bubble-Trees and of force-directed layouts/visualization... especially with time axes...

I contend that if you want to see higher-dimensional relationships, you need to invoke higher-dimensional encodings... and to keep track of those, they need to be highly motivated/apt encodings... which calls for a more elaborate systematization of making such mappings...

Layered Metaphor Complexes, or Complex Layered Metaphors... yet to be written down/up... <sighh...>


Visual display of the relationship of dissertation topics at Stanford. Note the narrowness of those coming out of "Communications." Doesn't seem to be much cross-pollination from other perspectives/disciplines. [No surprise, that.] But I wonder how one could measure/rank the degrees of association and dis-association of all the departments pictured here? -tj

*Quotes:*

    Dissertation Browser | Stanford
    <http://nlp.stanford.edu/projects/dissertations/browser.html>


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