Title :
Visual-VM: A Social Network Visualization Tool for Viral Marketing
Author :
Cheng Long ; Wong, Raymond Chi-Wing
Author_Institution :
Hong Kong Univ. of Sci. & Technol., Hong Kong, China
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.
Keywords :
data visualisation; marketing data processing; social networking (online); Visual-VM tool; social network exploration; social network visualization tool; user location information; viral marketing; Cities and towns; Diffusion processes; Integrated circuit modeling; Layout; Minimization; Social network services; Visualization; Social network visualization; viral marketing;
Conference_Titel :
Data Mining Workshop (ICDMW), 2014 IEEE International Conference on
Conference_Location :
Shenzhen
Print_ISBN :
978-1-4799-4275-6
DOI :
10.1109/ICDMW.2014.40
