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 …

User identity linkage has important implications in many cross-network applications, such as
user profile modeling, recommendation and link prediction across social networks. To …

Nowadays, people tend to join multiple social networks to enjoy different kinds of services.
User identity linkage across social networks is of great importance to cross-domain …

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 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 …

The user identity linkage that establishes correspondence between users across networks is
a fundamental issue in various social network applications. Efforts have recently been …

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

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

Abstract User Identity Linkage (UIL) across social networks can be used to identify the
accounts belonging to the same individual in multiple social networks, which is of great …

With the prosperity of online social networks, more and more users have multiple social
accounts at the same time in heterogeneous social networks. Associating the same user …