Unveiling user identity across social media: a novel unsupervised gradient semantic model for accurate and efficient user alignment

Abstract The field of social network analysis has identified User Alignment (UA) as a crucial area of investigation. The objective of UA is to identify and connect user accounts across diverse social networks, even when there are no explicit interconnections. UA plays a pivotal role in synthesising...

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Bibliographic Details
Main Authors: Yongqiang Peng, Xiaoliang Chen, Duoqian Miao, Xiaolin Qin, Xu Gu, Peng Lu
Format: Article
Language:English
Published: Springer 2024-11-01
Series:Complex & Intelligent Systems
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Online Access:https://doi.org/10.1007/s40747-024-01626-6
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