Towards Feature Selection for Cascade Growth Prediction on Twitter-Reference-Cited by-同舟云学术

Towards Feature Selection for Cascade Growth Prediction on Twitter

Published:2016 Issue: Volume: Page:
ISSN:
Container-title:Proceedings of the 10th International Conference on Informatics and Systems - INFOS '16
language:
Short-container-title:

Author:

Elsharkawy Sarah¹,Hassan Ghada²,Nabhan Tarek³,Roushdy Mohamed⁴

Affiliation:

1. Research Department, ITWorx, Egypt

2. Faculty of Computer and Information Sciences, The British University in Egypt and AinShams University

3. ITWorx, Egypt

4. Faculty of Computer and Information Sciences, AinShams University, Egypt

Publisher

ACM Press

Reference39 articles.

1. N. T. Bailey. The Mathematical Theory of Infectious Diseases and its applications. Griffin, London, 1975.

2. E. Bakshy, J. M. Hofman, W. A. Mason, and D. J. Watts. Everyone's an influencer: quantifying influence on twitterr. Proceedings of the fourth ACM international conference on Web search and data mining, pages 65--74, 2011.

3. J. Berger and K. L. Milkman. What makes online content viral? Journal of Marketing Research, 49(2):192--205, 2012.

4. M. Cha, H. Haddadiy, F. Benevenutoz, and K. P. Gummadi. Measuring user influence in twitter: The million follower fallacy. International AAAI Conference on Weblogs and Social Media (ICWSM), May 2010.

5. J. Cheng, L. Adamic, A. Dow, J. Kleinberg, and J. Leskovec. Can cascades be predicted? International World Wide Web Conference (WWW'14), 2014.

Cited by 6 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Spotlight Tweets: A Lens for Exploring Attention Dynamics within Online Sensemaking During Crisis Events;ACM Transactions on Social Computing;2023-06-26

2. CCasGNN: Collaborative Cascade Prediction Based on Graph Neural Networks;2022 IEEE 25th International Conference on Computer Supported Cooperative Work in Design (CSCWD);2022-05-04

3. Modeling Cascade Growth: Predicting Content Diffusion on VKontakte;Lecture Notes in Networks and Systems;2021

4. Social Media Popularity Prediction of Planned Events Using Deep Learning;Lecture Notes in Computer Science;2021

5. RNe2Vec: information diffusion popularity prediction based on repost network embedding;Computing;2020-10-30