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

The increasing popularity and diversity of social media sites has encouraged more and
more people to participate on multiple online social networks to enjoy their services. Each …

Abstract User Identity Linkage (UIL) aims to reveal the correspondence among account pairs
across different social platforms. It has been a popular but challenging task in recent years …

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 …

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 …

Users participate in multiple social networks for different services. User identity linkage aims
to predict whether users across different social networks refer to the same person, and it has …

In the past few decades, we have witnessed the flourishing of location-based social
networks (LBSNs), where many users tend to create different accounts on multiple platforms …

User identity linkage across social networks is an essential problem for cross-network data
mining. Since network structure, profile and content information describe different aspects of …

Most users on social media have intrinsic characteristics, such as interests and political
views, that can be exploited to identify and track them, thus raising privacy and identity …

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 …