Firstly, identifying features which catch users' attention to the viral message is a vital prerequisite to predict IVM. The attention features proposed in this ...
Semantic Scholar extracted view of "Predicting the influence of viral message for VM campaign on Weibo" by Shugang Li et al.
Predicting the influence of viral message for VM campaign on Weibo. Highlights. VM prediction model is devised by combining sponsored and promotional seeds ...
First, considering that a viral message is an integration of text, images, and videos, we concentrate on extracting significant features embedded in images and ...
In this study, an IVM prediction model is proposed by taking the seeds' influence with respect to infecting their followers into consideration. The attention ...
Yuqi Zhang, Shugang Li, Zhaoxu Yu , Fangfang Zhang, Hanyu Lu: A 2020 perspective on "Predicting the influence of viral messages for VM campaigns on Weibo".
A 2020 perspective on “Predicting the influence of viral messages for VM campaigns on Weibo”
VM prediction model is devised by combining sponsored and promotional seeds' outcome. • Attention features that get users attentive to the viral message are ...
Predicting the influence of viral message for VM campaign on Weibo. Shugang Li, Yuqi Zhang, Zhaoxu Yu, Fangfang Zhang, Hanyu Lu. https://doi.org/10.1016/j ...
