RNe2Vec: information diffusion popularity prediction based on repost network embedding-Reference-Cited by-同舟云学术

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RNe2Vec: information diffusion popularity prediction based on repost network embedding

Published:2020-10-30 Issue:2 Volume:103 Page:271-289
ISSN:0010-485X
Container-title:Computing
language:en
Short-container-title:Computing

Author:

Shang Jiaxing^ORCID,Huang Shuo,Zhang Dingyang,Peng Zixuan,Liu Dajiang,Li Yong,Xu Lexi

Funder

National Natural Science Foundation of China

Fundamental Research Funds for the Central Universities

Chongqing Research Program of Basic Research and Frontier Technology

Publisher

Springer Science and Business Media LLC

Subject

Computational Mathematics,Computational Theory and Mathematics,Computer Science Applications,Numerical Analysis,Theoretical Computer Science,Software

Link

http://link.springer.com/content/pdf/10.1007/s00607-020-00858-x.pdf

Reference37 articles.

1. Hjorth L, Hinton S (2019) Understanding Social Media. SAGE, Thousand Oaks

2. Hongchun W, Shang J, Zhou S, Feng Y, Qiang B, Xie W (2018) LAIM: a linear time iterative approach for efficient influence maximization in large-scale networks. IEEE Access 6:44221–44234

3. Wang W, Liu Q-H, Liang J, Yanqing H, Zhou T (2019) Coevolution spreading in complex networks. Phys Rep 820:1–51

4. Pan L, Wang W, Cai S, Zhou T (2019) Optimal interlayer structure for promoting spreading of the susceptible-infected-susceptible model in two-layer networks. Phys Rev E 100(2):022316

5. Li X, Han S, Zhao L, Gong C, Liu X (2017) New dandelion algorithm optimizes extreme learning machine for biomedical classification problems. In: Computational intelligence and neuroscience 2017

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