Name
Title | ||
|---|---|---|
D-Map+: Interactive Visual Analysis and Exploration of Ego-centric and Event-centric Information Diffusion Patterns in Social Media. |
Abstract | ||
|---|---|---|
Information diffusion analysis is important in social media. In this work, we present a coherent ego-centric and event-centric model to investigate diffusion patterns and user behaviors. Applying the model, we propose Diffusion Map+ (D-Maps+), a novel visualization method to support exploration and analysis of user behaviors and diffusion patterns through a map metaphor. For ego-centric analysis, 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. Event-centric analysis focuses on multiple central users discussing a specific event, with all the people participating and reposting messages about it. Social media users are mapped to a hexagonal grid based on their behavior similarities and in the chronological order of repostings. With the additional interactions and linkings, D-Map+ is capable of providing visual profiling of influential users, describing their social behaviors and analyzing the evolution of significant events in social media. 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 and events. We also perform evaluations including user studies and expert feedback to certify the capabilities of our method.
|
Year | DOI | Venue |
|---|---|---|
2019 | 10.1145/3183347 | ACM TIST |
Keywords | Field | DocType |
Social media, information diffusion, map | Social behavior,Social media,Visualization,Computer science,Profiling (computer programming),Id, ego and super-ego,Interactive visual analysis,Human–computer interaction,Artificial intelligence,User studies,Machine learning,Metaphor | Journal |
Volume | Issue | ISSN |
10 | 1 | 2157-6904 |
Citations | PageRank | References |
5 | 0.39 | 41 |
Authors | ||
6 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Siming Chen | 1 | 125 | 14.34 |
| Shuai Chen | 2 | 33 | 9.17 |
| Zhenhuang Wang | 3 | 5 | 0.39 |
| Jie Liang | 4 | 86 | 10.85 |
| Yadong Wu | 5 | 10 | 2.15 |
| Xiaoru Yuan | 6 | 1157 | 70.28 |