Folksonomy visualisation - Self-Organising Model

The visualisation here is a self-organising model of the folksonomy created by the social bookmarking study. The model consists of three things: the taggers, the tags used and the sites tagged. In the visualisation below, the program tries to organise the fifty most popular tags in such a way as the tags which are "like" each other are placed near to each other and those tags which are unlike each other are placed further away. A tag is "like" another tag if different users have used the same tag to tag the same site. A tag is not "like" another tag if the converse is true. In addition, the more frequently a tag is used the larger it is and, depending on your browser, the redder it is. Clearly it is impossible to display this in only 2-dimensions so that program makes a best case fit each time it is run. It is worthwhile, therefore, running it several times to explore the emergent similarities. The most obvious outcome is the centrality of the tag "story."

Browser notes. This visualisation runs best using Opera. It also works well under Firefox and related mozilla browsers. It does work under Internet Explorer 7 (though some of the formatting is lost) but does not work well under previous versions of Internet Explorer.

If the graphic below does not show properly, click here to view in separate window.

This model was produced by Dave Everitt and Ben Daglish. Some other interesting folksonomy visualisations can be found on Well-formed Data and via IBM's visualiser - Many Eyes.

Contact: Prof. Sue Thomas, School of Media and Cultural Production, Clephan Building, De Montfort University, Leicester LE1 9BH, UK. Tel. +44 (0)116 207 8266, fax +44 (0) 116 257 7199, email Sue.Thomas at dmu dot ac dot uk.