Visual abstraction and exploration of large-scale geographical social media data

Zhiguang Zhou, Xinlong Zhang, Zhiyong Guo, Yuhua Liu

Abstract: Highlights•A rapid sampling model is employed to retain the topic distribution of social media datasets.•A blue noise sampling model is coupled with rapid sampling model to retain the spatial distribution.•A set of enhanced visualizations are designed to evaluate the results from different perspectives.•A visual analytics framework is implemented enabling users to explore social behaviors.