As promised, here is an update to the tag maps appli­ca­tion I intro­duced below along with some explanations.

For the impa­tient: HERE’S THE LINK

(Update again: The lat­est ver­sion can be found here)

And for the curi­ous: Here’s the expla­na­tions: (more…)

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.