D-Map is a novel visualization method to support exploration and analysis of social
behaviors during such information diffusion and propagation on typical social media
through a map metaphor. In D-Map, users who participated in reposting one central user’s
posts are collected and mapped to a hexagonal grid based on their behavior similarities
and in chronological order of the repostings. With additional interaction and linking,
D-Map is capable of providing visual portraits of the influential users and describing
their social behaviors.
Siming Chen, Shuai Chen, Zhenhuang Wang, Jie Liang, Xiaoru Yuan, Nan Cao, Yadong Wu.
D-Map: Visual Analysis of Ego-centric Information Diffusion Patterns in Social Media.
In Proceedings of IEEE Conference on Visual Analytis Science and Technology (VAST'16), pages 41-50, Baltimore, USA, Oct. 23-28, 2016