User identity linkage across online social networks: A review

K Shu, S Wang, J Tang, R Zafarani, H Liu - Acm Sigkdd Explorations …, 2017 - dl.acm.org
… In Section 2, we introduce notations and formally define user identity linkage. In Section 3,
we present the general framework of user identity linkage approaches. Specifically, we review …

Deeplink: A deep learning approach for user identity linkage

F Zhou, L Liu, K Zhang, G Trajcevski… - IEEE INFOCOM 2018 …, 2018 - ieeexplore.ieee.org
… Abstract—The typical aim of User Identity Linkage (UIL) is to detect when users from
across … span from user-profile-based, through user-generated-content-based, user-behavior-based …

Colink: An unsupervised framework for user identity linkage

Z Zhong, Y Cao, M Guo, Z Nie - … of the AAAI Conference on Artificial …, 2018 - ojs.aaai.org
… We propose CoLink, a general unsupervised framework for the User Identity Linkage
problem. CoLink separates the user profile into two independent views: user attributes and …

User identity linkage by latent user space modelling

X Mu, F Zhu, EP Lim, J Xiao, J Wang… - Proceedings of the 22nd …, 2016 - dl.acm.org
… the multi-platform user identity linkage problem based on a new concept of Latent User
Space, which more naturally models the relationship among the underlying real user and the var…

Dplink: User identity linkage via deep neural network from heterogeneous mobility data

J Feng, M Zhang, H Wang, Z Yang, C Zhang… - The world wide web …, 2019 - dl.acm.org
… Once our model achieves good performance on this simple task, we start to train it with
the final user identity linkage task on different mobility data source. This warm-up task is to …

[HTML][HTML] RLINK: Deep reinforcement learning for user identity linkage

X Li, Y Cao, Q Li, Y Shang, Y Li, Y Liu, G Xu - World Wide Web, 2021 - Springer
identities, which could contribute to the subsequent linkages in following matching steps. To
address this problem, we transform user identity linkage … optimize the linkage strategy from …

Unsupervised user identity linkage via factoid embedding

W Xie, X Mu, RKW Lee, F Zhu… - 2018 IEEE International …, 2018 - ieeexplore.ieee.org
… novel framework that links user identities across multiple OSNs through the use of a network
… For a fair comparison, we introduce more anchor links by linking user identities which share …

Translink: User identity linkage across heterogeneous social networks via translating embeddings

J Zhou, J Fan - IEEE INFOCOM 2019-IEEE conference on …, 2019 - ieeexplore.ieee.org
… • We propose a reliable iterative identity linkage mechanism in TransLink. It can maximally
improve the precision and recall rate by iteratively appending the newly connected anchor …

Graph neural networks for user identity linkage

W Zhang, K Shu, H Liu, Y Wang - arXiv preprint arXiv:1903.02174, 2019 - arxiv.org
… nodes, we intend to find those nodes which are the same user identity across networks,
namely user identity linkage predictions. Here, we only rely on the network topology to learn …

User identity linkage across social networks via linked heterogeneous network embedding

Y Wang, C Feng, L Chen, H Yin, C Guo, Y Chu - World Wide Web, 2019 - Springer
… In this section, we define preliminary concepts used in this paper and the user identity linkage
problem. Without loss of generality, we focus on user identity linkage in two social networks…