A Visual Analytics Framework for Microblog Data Analysis at Multiple Scales of Aggregation

• DOI: 10.1111/cgf.12920
• Publication Date: 2016-07-04T13:54:40Z
• Authors: Jiawei Zhang; Benjamin Ahlbrand; Abish Malik; Junghoon Chae; Zhiyu Min; Sungahn Ko; David S. Ebert
• Keywords: Situation Awareness; Microblogging

Abstract Real‐time microblogs can be utilized to provide situational awareness during emergency and disaster events. However, the utilization of these datasets requires decision makers perform their exploration analysis across a range data scales from local global, while maintaining cohesive thematic context transition between different granularity levels. The information dimensions at varied human remains non‐trivial task. To this end, we present visual analytics environment that supports real‐time microblog multiple analysis. We classify based on fine‐grained, crisis‐related categorization approach, visualize spatiotemporal evolution categories by coupling spatial lens with glyph‐based design. propose transparency‐based preserving technique maintains smooth scales. evaluate our system, conduct user studies domain expert feedback.