SoDA: Dynamic visual analytics of big social data
Sabri Hassan, Johannes Sänger, Günther Pernul · 2014
In this work we apply dynamic visual analytics on big social data by the example of microblogs from Twitter. Thereby, we address current challenges like real-time analytics as well as analyses of unstructured data. To this end, we propose SoDA - a concept enabling the integrated analysis of the dimensions: message, location and time. Furthermore, we introduce a novel design for tag cloud visualizations, the weighted tag network, offering enhanced semantic insights. All concepts are fully implemented and evaluated by a comprehensive software prototype in different application scenarios.