Publication Type
Conference Paper
Version
submittedVersion
Publication Date
10-2011
Abstract
Virality is a virus-like behavior that allows a piece of information to widely and quickly diffuse within the network of adopters through word of mouth. It is about how easy users propagate information to their friends and friends of friends by means of diffusion. While virality of information has several interesting applications, there are much research to be conducted on virality. These areas of research include understanding the mechanism of virality, modeling the virality both qualitatively and quantitatively, and applying virality to applications such as marketing, event detection, and others. In this paper, we survey existing works on quantitative models for virality and the relationship between virality and other behaviors. Through the survey, we hope to offer common framework to study topis related to information virality.
Discipline
Computer Sciences | Social Media
Publication
International Conference on Asia-Pacific Digital Libraries 13th ICADL 2011, October 24-27
First Page
1
Last Page
5
City or Country
Beijing, China
Citation
HOANG, Tuan Anh and LIM, Ee-Peng.
Virality Modeling and Analysis. (2011). International Conference on Asia-Pacific Digital Libraries 13th ICADL 2011, October 24-27. 1-5.
Available at: https://ink.library.smu.edu.sg/sis_research/3505
Copyright Owner and License
LARC
Creative Commons License
This work is licensed under a Creative Commons Attribution-NonCommercial-No Derivative Works 4.0 International License.