Social network alignment, aiming at linking identical identities across different social
platforms, is a fundamental task in social graph mining. Most existing approaches are …

User alignment across social networks, whose main goal is to fuse user information in
different network platforms, is a fundamental task in social network analysis. It can benefit …

Social network alignment (SNA) aims to identify the same person across different social
networks. Existing SNA methods can be categorized as supervised, semi-supervised and …

The user alignment problem that establishes a correspondence between users across
networks is a fundamental issue in various social network analyses and applications. Since …

Aligning users across different social networks has become increasingly studied as an
important task to social network analysis. In this paper, we propose a novel representation …

User alignment between different social networks is a fundamental issue for many
applications, such as information diffusion and recommendation. In actuality, the observed …

Social network alignment aims at aligning person identities across social networks.
Embedding based models have been shown effective for the alignment where the structural …

The usage of social network usernames in the research of social identity linkage has been
proved, especially for the English usernames. However, how to properly connect Chinese …

Aiming at the deficiencies of low accuracy and difficulty in obtaining data for existing cross
social network user identity matching algorithms, an algorithm of user identity matching …

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 …