On modeling and predicting popularity dynamics via integrating generative model and rich features

标题
On modeling and predicting popularity dynamics via integrating generative model and rich features
作者
关键词
Social media, Popularity prediction, Popularity dynamics, Rich features, Reinforced Poisson process
出版物
KNOWLEDGE-BASED SYSTEMS
Volume 196, Issue -, Pages 105786
出版商
Elsevier BV
发表日期
2020-03-27
DOI
10.1016/j.knosys.2020.105786

向作者/读者发起求助以获取更多资源

Reprint

联系作者

Create your own webinar

Interested in hosting your own webinar? Check the schedule and propose your idea to the Peeref Content Team.

Create Now

Become a Peeref-certified reviewer

The Peeref Institute provides free reviewer training that teaches the core competencies of the academic peer review process.

Get Started