Network alignment, which is also known as user identity linkage, is a kind of network
analysis task that predicts overlapping users between two different social networks. This …

User identity linkage aims to link users with the same identities across different social
networks. Recently, re-searchers model the similarities of users' behaviors such as Point of …

Online services are playing critical roles in almost all aspects of users' life. Users usually
have multiple online identities (IDs) in different online services. In order to fuse the …

Network embedding, which maps graphs to distributed representations, is a unified
framework for various graph inference tasks. According to the topology properties (eg …

We study the problem of large-scale social identity linkage across different social media
platforms, which is of critical importance to business intelligence by gaining from social data …

Diffusion on social networks refers to the phenomena that opinions are spread via
connected nodes. Given a set of observed cascades, the underlying diffusion process can …

Cross-social network user identification refers to finding users with the same identity in
multiple social networks, which is widely used in the cross-network recommendation, link …

Most people have identities on multiple social network sites (SNSs) simultaneously to meet
their diverse needs for social media use. User identity identification across SNSs has been a …

Cross-social network user alignment is to find users with the same identity in multiple social
networks. It has important applications in natural and scientific fields, such as link prediction …

This paper studies the problem of learning latent representations or embeddings for users in
social networks, by leveraging relationship semantics associated with each link. User …