The same user registers on different social platforms which scatters user data across
multiple platforms, these data are incomplete, unreliable, and underutilized. Through the …

People have presence across different information networks on the social web. The problem
of user identity linking, is the task of establishing a connection between accounts of the …

User identity linkage across social platforms is an important problem of great research
challenge and practical value. In real applications, the task often assumes an extra degree …

Different social networks are independent of each other, and identifying the same person in
different social networks is of great significance for cross-network information dissemination …

Aiming at the deficiencies of low accuracy and difficulty in obtaining data for existing cross
social network user identity matching algorithms, an algorithm of user identity matching …

Abstract The Internet of Things (IoT) devices spawn growing diverse social platforms and
online data at the network edge, propelling the development of cross-platform applications …

User identity linkage is to identify all the users belonging to the same individual in different
networks and has been widely studied along with the increasing popularity of diverse social …

The same user registers accounts on different social platforms, which makes user data
scattered across multiple platforms, and these data are incomplete, unreliable and low …

Network embedding fills the gap of applying tuple-based data mining models to networked
datasets through learning latent representations or embeddings. However, it may not be …

In this paper, we work towards linking users' identities on different social media platforms by
exploring the user-generated contents (UGCs). This task is non-trivial due to the following …