Online social networks are now a popular way for users to connect, express themselves, and
share content. Users in today's online social networks often post a profile, consisting of …

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 …

In this paper, we adopt the representation learning approach to align users across multiple
social networks where the social structures of the users are exploited. In particular, we …

The proliferation of social networks and all the personal data that people share brings many
opportunities for developing exciting new applications. At the same time, however, the …

Online social network analysis has attracted great attention with a vast number of users
sharing information and availability of APIs that help to crawl online social network data. In …

With the growing popularity and usage of online social media services, people now have
accounts (some times several) on multiple and diverse services like Facebook, Linked In …

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 …

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 …

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 …

With more people accessing Online Social Networks (OSN) using their mobile devices,
location-based features have become an important part of the social networking. In this …