Modeling and Predicting Popularity Dynamics via an Influence-based Self-Excited Hawkes Process-Reference-Cited by-同舟云学术

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Modeling and Predicting Popularity Dynamics via an Influence-based Self-Excited Hawkes Process

Published:2016-10-24 Issue: Volume: Page:
ISSN:
Container-title:Proceedings of the 25th ACM International on Conference on Information and Knowledge Management
language:
Short-container-title:

Author:

Bao Peng¹

Affiliation:

1. Beijing Jiaotong University, Beijing, China

Funder

the State Visiting Scholar Funds from the China Scholarship Council

the Fundamental Research Funds for the Central Universities

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/2983323.2983868

Reference16 articles.

1. Robust dynamic classes revealed by measuring the response function of a social system

2. Predicting the popularity of online content

3. Using a model of social dynamics to predict popularity of news

4. Modeling and Predicting Retweeting Dynamics on Microblogging Platforms

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3. What Drives Online Popularity: Author, Content or Sharers? Estimating Spread Dynamics with Bayesian Mixture Hawkes;Lecture Notes in Computer Science;2024

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