Predicting popularity trend in social media networks with multi-layer temporal graph neural networks

Abstract Predicting what becomes popular on social media is crucial because it helps us understand future topics and public interests based on massive social data. Previous studies mainly focused on picking specific features and checking past statistic numbers, ignoring the hidden impact of messages...

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Principais autores:	Ruidong Jin, Xin Liu, Tsuyoshi Murata
פורמט:	Artigo
שפה:	Inglês
יצא לאור:	Springer 2024-04-01
סדרה:	Complex & Intelligent Systems
נושאים:	Trend prediction Social media network Temporal graph neural network Heterogeneous graph
גישה מקוונת:	https://doi.org/10.1007/s40747-024-01402-6
תגים:	הוספת תג אין תגיות, היה/י הראשונ/ה לתייג את הרשומה!