Abstract User Identity Linkage (UIL) is the problem of matching user identities across
multiple online social networks (OSNs) which belong to the same person. The solutions to …

Today, social networks are becoming increasingly popular and indispensable, where users
usually have multiple accounts. It is of considerable significance to conduct user identity …

User identity linkage (UIL) across social networks has recently attracted an increasing
amount of attention due to its significant research challenges and practical value. Most of the …

User identity linkage (UIL) task aims to infer the identical users between different social
networks/platforms. Existing models leverage the labeled inter-linkages or high-quality user …

User identity linkage (UIL), matching accounts of a person on different social networks, is a
fundamental task in cross-network data mining. Recent works have achieved promising …

Nowadays, users are encouraged to activate across multiple online social networks
simultaneously. User identity linkage, which aims to reveal the correspondence among …

User identity linkage across online social networks has gained a significant interest in the
last few years in diverse applications such as data fusion, de-duplication, personalized …

User identity linkage is a task of recognizing the identities of the same user across different
social networks (SN). Previous works tackle this problem via estimating the pairwise …

Driven by the tremendous amount of spatiotemporal data obtained from location-based
social networks, the implement of cross-domain user linkage, also known as the User …

In order to distinguish the accounts that belong to the same person, we propose a method to
link user identity across social networks based on user profile and relation. According to …