D-Map: Visual Analysis of Ego-centric Information Diffusion Patterns in Social Media

Description

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.

Publication

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

System Interface

Demo

Link

Materials


Copyright 2012-2019, Peking University, All rights reserved.