The increasing popularity and diversity of social media sites has encouraged more and
more people to participate on multiple online social networks to enjoy their services. Each …

Complex networks are frequently employed to model physical or virtual complex systems.
When certain entities exist across multiple systems simultaneously, unveiling their …

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 …

Predicting anchor links across social networks has important implications to an array of
applications, including cross-network information diffusion and cross-domain …

More often than not, people are active in more than one social network. Identifying users
from multiple heterogeneous social networks and integrating the different networks is a …

Multiple networks naturally appear in numerous high-impact applications. Network
alignment (ie, finding the node correspondence across different networks) is often the very …

Cross-platform account matching plays a significant role in social network analytics, and is
beneficial for a wide range of applications. However, existing methods either heavily rely on …

The typical aim of User Identity Linkage (UIL) is to detect when users from across different
social platforms are actually one and the same individual. Existing efforts to address this …

Linking entities from different sources is a fundamental task in building open knowledge
graphs. Despite much research conducted in related fields, the challenges of linkinglarge …

Nowadays, it is common for one natural person to join multiple social networks to enjoy
different kinds of services. Linking identical users across multiple social networks, also …