Predicting the popularity growth of online content: Model and algorithm-Reference-Cited by-同舟云学术

Predicting the popularity growth of online content: Model and algorithm

Published:2016-11 Issue: Volume:369 Page:585-613
ISSN:0020-0255
Container-title:Information Sciences
language:en
Short-container-title:Information Sciences

Author:

Lymperopoulos Ilias N.

Publisher

Elsevier BV

Subject

Artificial Intelligence,Information Systems and Management,Computer Science Applications,Theoretical Computer Science,Control and Systems Engineering,Software

Reference49 articles.

1. A peek into the future: predicting the evolution of popularity in user generated content;Ahmed,2013

2. Trends in social media: persistence and decay;Asur,2011

3. The pulse of news in social media: forecasting popularity.;Bandari,2012

4. Popularity prediction in microblogging network: a case study on sina weibo;Bao,2013

5. A new product growth for model consumer durables;Bass;Manage. Sci.,1969

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