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


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
PublisherInstitute of Electrical and Electronics Engineers Inc.
Number of pages4
ISBN (Print)978-1-4799-4275-6
Publication statusPublished - 2014
Externally publishedYes


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

Cite this