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Author

Ling Xing

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Open access Aug 2026

An attention-assisted detection method for anomalous events in social networks

This paper proposes an attention-assisted detection method for abnormal events in social networks that constructs a social network temporal graph model that reveals hidden anomalous topics and constructs scenarios as events evolve, thereby improving the interpretability of anomalous events in social networks.

Qi Zhang, Jian-Xin Zhang, Shen-Tao Gao et al. · 0 citations

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