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Characterizing the Evolution of Inter-Actor Networks in the South China Sea Arbitration via Entropy-Driven Graph Representation Learning from Massive Media Event Data.

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Title: Characterizing the Evolution of Inter-Actor Networks in the South China Sea Arbitration via Entropy-Driven Graph Representation Learning from Massive Media Event Data.
Authors: Ma, Menglan1 (AUTHOR), Yu, Hong1,2 (AUTHOR) susanyu501@163.com, Fang, Peng1,2 (AUTHOR) fangpeng@hust.edu.cn
Source: Entropy. Mar2026, Vol. 28 Issue 3, p347. 17p.
Database: Academic Search Ultimate
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  Data: Characterizing the Evolution of Inter-Actor Networks in the South China Sea Arbitration via Entropy-Driven Graph Representation Learning from Massive Media Event Data.
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  Data: <searchLink fieldCode="JN" term="%22Entropy%22">Entropy</searchLink>. Mar2026, Vol. 28 Issue 3, p347. 17p.
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        Value: 10.3390/e28030347
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        Text: English
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        StartPage: 347
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      – TitleFull: Characterizing the Evolution of Inter-Actor Networks in the South China Sea Arbitration via Entropy-Driven Graph Representation Learning from Massive Media Event Data.
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            NameFull: Yu, Hong
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              Text: Mar2026
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