Article ID | Journal | Published Year | Pages | File Type |
---|---|---|---|---|
10481657 | Physica A: Statistical Mechanics and its Applications | 2013 | 12 Pages |
Abstract
Before launching a real viral marketing campaign, it is needed to design a spreading scheme by simulations. Based on a categorization of spreading patterns in real world and models, we point out that the existing research (especially Yang et al. (2010) Ref. [16]) implicitly assume that if a user decides to post a received message (is activated), he/she will take the reposting action promptly (Prompt Action After Activation, or PAAA). After a careful analysis on a real dataset however, it is found that the observed time differences between action and activation exhibit a heavy-tailed distribution. A simulation model for heavy-tailed pattern is then proposed and performed. Similarities and differences of spreading processes between the heavy-tailed and PAAA patterns are analyzed. Consequently, a more practical design approach of spreading scheme for viral marketing on QQ platform is proposed. The design approach can be extended and applied to the contexts of non-heavy-tailed pattern, and viral marketing on other instant messaging platforms.
Related Topics
Physical Sciences and Engineering
Mathematics
Mathematical Physics
Authors
Jianmei Yang, Dong Zhuang, Weicong Xie, Guangrong Chen,