Leveraging similarity and community-based features for link prediction in temporal social networks using attention-enabled LSTM
Abstract Link prediction refers to predicting future or missing links within the social network. Static social networks, with their fixed topology, require less data analysis, making predicting future or missing links relatively easier than in dynamic social networks. Dynamic social networks change...
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| Главные авторы: | , , , |
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| Формат: | Artigo |
| Язык: | Inglês |
| Опубликовано: |
Nature Portfolio
2025-12-01
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| Серии: | Scientific Reports |
| Предметы: | |
| Online-ссылка: | https://doi.org/10.1038/s41598-025-25702-0 |
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