Hyperlinks visualization using social bookmarking

Abstract

We present a method for navigation support by visualization of actual web page context. We browse and incrementally visualize a graph representing an abstraction of web navigation where nodes represent web pages and edges represent relationships between them expressed either by explicit links (one page linking to another through the content) or implied relationships (relevant pages several clicks away). We proposed several metrics for edge relevance evaluation. In the metrics, existing metadata in form of tags associated with bookmarks offered by collaborative social bookmarking sites is employed and user preferences represented by their tag usage are taken into account.