Description
E-Map is a visual analytics approach that uses map-like visualization tools to help
multi-faceted analysis of social media data on a significant event. E-Map transforms
extracted keywords, messages, and reposting behaviors into map features such as cities,
towns, and rivers to build a structured and semantic space for users to explore. It also
visualizes complex posting and reposting behaviors as simple trajectories and
connections that can be easily followed.
Publication
Siming Chen, Shuai Chen, Lijing Lin, Xiaoru Yuan, Jie Liang and Xiaolong (Luke) Zhang.
E-Map: A Visual Analytics Approach for Exploring Significant Event Evolutions in Social Media.
In Proceedings of IEEE Conference on Visual Analytics Science and Technology (VAST'17), Phoenix, USA, Oct. 1-6, 2017.
System Interface
