You might have seen the tag clouds posted below. I calculate tag positions based on co-occurrence, such that tags used together are placed closer to each other. Additionally, tags are scaled áccording to frequency.
A general problem I have with the resulting representation (and common tag clouds as well) is the fact, that every tag occurrence is weighted equally. As a result, these tag clouds never represent the current state of interest, but a very sluggishly changing summary of your archive. However, your interests and the corresponding vocabulary keeps moving on.
So I am currently investigating trends in tag clouds and how groups of related tags emerge and disappear again.

A first glimpse into the dynamical nature of tag structures.

I am currently organizing my literature on tagging. When I started with research on that topic about a year ago, you could count the number of substantial contributions on one hand. Over the current year, however, the number of papers on this topic has sky-rocketed, which makes the whole area hard to oversee at the moment.

I will start with an overview of my subjective must-reads for now (all linked to citeulike):

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