Name
Abstract | ||
|---|---|---|
Popular social media platforms could rapidly propagate vital information over social networks among a significant number of people. In this work we present D-Map (Diffusion Map), 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 (i.e., resending a message initially posted by others) one central user's posts (i.e., a series of original tweets) 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. A comprehensive visual analysis system is developed to support interactive exploration with D-Map. We evaluate our work with real world social media data and find interesting patterns among users. Key players, important information diffusion paths, and interactions among social communities can be identified. |
Year | DOI | Venue |
|---|---|---|
2016 | 10.1109/VAST.2016.7883510 | 2016 IEEE Conference on Visual Analytics Science and Technology (VAST) |
Keywords | DocType | ISBN |
Social Media,Map,Information Diffusion | Conference | 978-1-5090-5662-0 |
Citations | PageRank | References |
2 | 0.40 | 29 |
Authors | ||
7 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Siming Chen | 1 | 125 | 14.34 |
| Shuai Chen | 2 | 2 | 0.40 |
| Zhenhuang Wang | 3 | 17 | 2.89 |
| Jie Liang | 4 | 2 | 0.40 |
| Xiaoru Yuan | 5 | 1157 | 70.28 |
| Nan Cao | 6 | 759 | 52.57 |
| Yadong Wu | 7 | 2 | 0.40 |