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