Predicting Opinion Dynamics via Sociologically-Informed Neural Networks-Reference-Cited by-同舟云学术

Predicting Opinion Dynamics via Sociologically-Informed Neural Networks

Published:2022-08-14 Issue: Volume: Page:
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Container-title:Proceedings of the 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining
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Author:

Okawa Maya¹,Iwata Tomoharu²

Affiliation:

1. NTT Human Informatics Labs, Yokosuka, Japan

2. NTT Communication Science Labs, Kyoto, Japan

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3534678.3539228

Reference51 articles.

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2. Opinion Fluctuations and Disagreement in Social Networks

3. Emergence of polarized ideological opinions in multidimensional topic spaces;Fabian Baumann;Physical Review,2021

4. Atilim Gunes Baydin etal 2018. Automatic differentiation in machine learning: A survey. Journal of machine learning research 18 (2018). Atilim Gunes Baydin et al. 2018. Automatic differentiation in machine learning: A survey. Journal of machine learning research 18 (2018).

5. Yuyao Chen , Lu Lu , George Em Karniadakis, and Luca Dal Negro . 2020 . Physicsinformed neural networks for inverse problems in nano-optics and metamaterials. Optics express 28, 8 (2020), 11618--11633. Yuyao Chen, Lu Lu, George Em Karniadakis, and Luca Dal Negro. 2020. Physicsinformed neural networks for inverse problems in nano-optics and metamaterials. Optics express 28, 8 (2020), 11618--11633.

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