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.
|Title of host publication||2014 IEEE International Conference on Data Mining Workshops|
|Place of Publication||Shenzhen, China|
|Publisher||IEEE Computer Society|
|Number of pages||4|
|Publication status||Published - 2014|
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.