Tag Cloud Reorganization: Finding Groups of Related Tags on Delicious

Tag clouds have become an appealing way of navigating through web pages on social tagging systems. Recent research has focused on finding relations among tags to improve visualization and access to web documents from tag clouds. Reorganizing tag clouds according to tag relatedness has been suggested as an effective solution to ease navigation. Most of the approaches either rely on co-occurrences or rely on textual content to represent tags. In this chapter we will explore tag cloud reorganization based on both of them. We compare these clouds from a qualitative point of view, analyzing pros and cons of each approach. We show encouraging results suggesting that co-occurrences produce more compelling reorganization of tag clouds than textual content, being computationally less expensive.