Due to the distinct functionalities of various social network platforms, users often register
accounts on different platforms, posing significant challenges for unified user management …

Online Social Networks exploit a lightweight process to identify their users so as to facilitate
their fast adoption. However, such convenience comes at the price of making legitimate …

User alignment across social networks can facilitate more information/knowledge
transferring across networks and thereby benefit several applications, including social link …

The widespread adoption of mobile devices and sensing technologies has significantly
boosted the availability of trajectory data, thereby facilitating studies on users' spatio …

Presently, many users are involved in multiple social networks. Identifying the same user in
different networks, also known as anchor link prediction, becomes an important problem …

User identity linkage refers to linking different social accounts belonging to the same natural
person. Cross social network user identity linkage based on spatiotemporal data has …

Location-based social networks (LBSNs) have greatly promoted the development of the field
of human mobility mining. However, the sparsity, multimodality and heterogeneity nature of …

Accurate user representation learning has been proven fundamental for many social media
applications, including community detection, recommendation, etc. A major challenge lies in …

Privacy concerns on social networks have received extensive attention in recent years. The
task of user identity linkage (UIL), which aims to identify corresponding users across different …

In social networks, the problem of identity linkage is to find whether a pair of user identities
on two social networks belong to the same individual or not. Prior works typically first collect …