Abstract
The paper presents Visual-VM, a social network visualization tool, where the main focus is to provide utilities for viral marketing (e.g., Influence maximization). Besides, Visual-VM utilizes the location information of each user (which could be estimated from the user's profile) for social network visualization, which is not used in existing social network visualization tools. Visual-VM also supports common utilities for social network exploration.
| Original language | English |
|---|---|
| Title of host publication | 2014 IEEE International Conference on Data Mining Workshops |
| Place of Publication | Shenzhen, China |
| Publisher | IEEE Computer Society |
| Pages | 1223-1226 |
| Number of pages | 4 |
| ISBN (Print) | 978-1-4799-4275-6 |
| Publication status | Published - 2014 |
| Externally published | Yes |
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Cite this
Long, C., & Wong, R. C-W. (2014). Visual-VM: a social network visualization tool for viral marketing. In 2014 IEEE International Conference on Data Mining Workshops (pp. 1223-1226). IEEE Computer Society.