Visual-VM: a social network visualization tool for viral marketing

Cheng Long, Raymond Chi-Wing Wong

Research output: Chapter in Book/Report/Conference proceedingConference contribution

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 languageEnglish
Title of host publication2014 IEEE International Conference on Data Mining Workshops
Place of PublicationShenzhen, China
PublisherIEEE Computer Society
Pages1223-1226
Number of pages4
ISBN (Print)978-1-4799-4275-6
Publication statusPublished - 2014
Externally publishedYes

Fingerprint Dive into the research topics of 'Visual-VM: a social network visualization tool for viral marketing'. Together they form a unique fingerprint.

  • 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.