Information Cascades Modeling via Deep Multi-Task Learning
Author:
Affiliation:
1. University of Electronic Science and Technology of China, Chengdu, China
2. University of Maryland, College park, MD, USA
3. Iowa State University, Ames, IA, USA
Funder
National Science Foundation
National Natural Science Foundation of China
Publisher
ACM
Link
https://dl.acm.org/doi/pdf/10.1145/3331184.3331288
Reference16 articles.
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3. Qi Cao Huawei Shen Keting Cen Wentao Ouyang and Xueqi Cheng. 2017. Deep-Hawkes: Bridging the Gap between Prediction and Understanding of Information Cascades. In CIKM. 10.1145/3132847.3132973 Qi Cao Huawei Shen Keting Cen Wentao Ouyang and Xueqi Cheng. 2017. Deep-Hawkes: Bridging the Gap between Prediction and Understanding of Information Cascades. In CIKM. 10.1145/3132847.3132973
4. Can cascades be predicted?
5. Maximilian Jenders Gjergji Kasneci and Felix Naumann. 2013. Analyzing and predicting viral tweets. In WWW. 10.1145/2487788.2488017 Maximilian Jenders Gjergji Kasneci and Felix Naumann. 2013. Analyzing and predicting viral tweets. In WWW. 10.1145/2487788.2488017
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