Name
Abstract | ||
|---|---|---|
The key challenges of visualizing social interaction data include the difficulties of understanding the general structure of social interactions and representing the data in the context of various user activities to reveal different behavior patterns. The design of the proposed interactive visualization tool Episogram is based on an anatomy of social interaction process in which the actors and obj... |
Year | DOI | Venue |
|---|---|---|
2016 | 10.1109/MCG.2015.73 | IEEE Computer Graphics and Applications |
Keywords | Field | DocType |
Data visualization,Twitter,Data models,Behaviorial sciences,Electronic mail,Shape analysis,Social network services | Social relation,Automatic summarization,Data modeling,Data visualization,Information visualization,Computer science,Interactive visualization,Human–computer interaction,User studies,Computer graphics,Multimedia | Journal |
Volume | Issue | ISSN |
36 | 5 | 0272-1716 |
Citations | PageRank | References |
10 | 0.43 | 9 |
Authors | ||
4 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Nan Cao | 1 | 759 | 52.57 |
| Yu-Ru Lin | 2 | 1392 | 82.89 |
| Fan Du | 3 | 167 | 15.39 |
| Dashun Wang | 4 | 627 | 27.09 |