The Collaborative Online Social Media ObServatory (COSMOS) is a collaboration between computer and social scientists to produce innovative data analytics and visualization software. By collecting, archiving, analyzing and visualizing social media data, COSMOS gives social scientists access to amounts of naturally-occurring data orders of magnitude larger than traditional social science methods, such as the household survey. Moreover, by mashing social media data with terrestrial curated data sets, such as census and crime records, COSMOS grounds the fast-changing social media landscape with the large body of social science theory and practice.
VDL (Visualization Description Language) is an XML tag-based language for describing interactive visualizations. I designed VDL with three characteristics in mind. First, VDL should be easy to read, write and understand; second, VDL should be aimed at information visualization applications; and third, VDL should use high-level visualization and modelling concepts rather than low-level graphics primitives. VDL models can be produced in several ways but are most commonly the output of a VDL filter. VDL filters take raw input data, process that input and generate a VDL model of the data. Users specify the filter’s parameter values and the filter generates the VDL model. The VDL Browser application provides the main environment and user interface for VDL filters.
VORTICES (Visualization Of Resource Traits In CachES) is a novel visual resource discovery tool that enables users to create 3D visualizations of web cache data. Users query a cache resource database with an HTML query form and the results are visualized in two new visualizations styles. The cities visualization presents cache resources as groups of skyscraper blocks floating in a virtual world. The cactals visualization represents cache resources as groups of tree structures. Queries and visualizations are also cached and made available to users. VORTICES has a four-tier architecture that marks up in SGML the data in a Squid cache and stores it in a Zebra Z39.50 database, and generates VRML visualizations of query results.