Random-walk-based graph representation methods have been widely applied in User
Identity Linkage (UIL) tasks, which links overlapping users between two different social …

People tend to have multiple identities or personalities in their real and on-line lives. In the
real life, these identities can be even associated with different names used with parents …

Inferring users' social role on a mobile communication network is of significance for various
applications, such as financial fraud detection, viral marketing, and target promotions …

The problem of user representation has received considerable attention in recent years. A
variety of social networks include not only network structures (friendships) but also …

Users tend to own multiple accounts on different location-based social network (LBSN)
platforms, and they typically engage with diverse social circles on each platform within the …

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 …

In order to establish a unified user model in multiple networks, a method of user identity
alignment in social networks has been proposed. Mainly focusing on the user identity …

This paper addresses social network embedding, which aims to embed social network
nodes, including user profile information, into a latent low-dimensional space. Most of the …

Online users are typically involved in multiple online social networks simultaneously to enjoy
a variety of social network services, thus bringing about the interconnection of online social …

Embedding network data into a low-dimensional vector space has shown promising
performance for many real-world applications, such as node classification and entity …