Prediction of Information Dissemination Scale in Large-scale Online Social Networks Based on Machine Learning: A Comparative Analysis-Reference-Cited by-同舟云学术

Prediction of Information Dissemination Scale in Large-scale Online Social Networks Based on Machine Learning: A Comparative Analysis

Published:2021-11-27 Issue: Volume: Page:
ISSN:
Container-title:2021 4th International Conference on Computing and Big Data
language:
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Author:

Han hongjian¹,Li jiaxu¹

Affiliation:

1. National University of Defense Technology, China

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3507524.3507527

Reference16 articles.

1. Weibo 2020 User Development Report . Beijing: Sina Weibo Data Center , 2021. Weibo 2020 User Development Report. Beijing: Sina Weibo Data Center, 2021.

2. Li Qianqian Et al." Classification prediction of The Forwarding scale of Chinese Government Microblog." Information Journal 037.001(2018):95-99. Li Qianqian Et al." Classification prediction of The Forwarding scale of Chinese Government Microblog." Information Journal 037.001(2018):95-99.

3. Zhou Xianting Et al." A method for predicting Microblog forwarding behavior based on anomaly Detection and Random Forest." Journal of Computer Science 044.007(2017):191-196 220. Zhou Xianting Et al." A method for predicting Microblog forwarding behavior based on anomaly Detection and Random Forest." Journal of Computer Science 044.007(2017):191-196 220.

4. Yuchi Zhang Et al." Modeling the role of message content and influencers in social media rebroadcasting." International Journal of Research in Marketing 34. 1(2017):100-119. Yuchi Zhang Et al." Modeling the role of message content and influencers in social media rebroadcasting." International Journal of Research in Marketing 34. 1(2017):100-119.

5. Peng Y Et al. "Visual analysis of micro-blog retweeting using an information diffusion function." Journal of Visualization 19.4(2016):823-838. Peng Y Et al. "Visual analysis of micro-blog retweeting using an information diffusion function." Journal of Visualization 19.4(2016):823-838.