With the recent surge of location-based social networks (LBSNs), such as Foursquare and
Facebook Places, huge digital footprints of people's locations, profiles, and online social …

The exponential growth of online social networks has inspired us to tackle the problem of
individual user attributes inference from the Big Data perspective. It is well known that …

The Internet of People (IoP) is a human-centric computing paradigm, where the people are
not considered merely as end users, but become the center of the computing architecture …

User representation learning is one prominent and critical task of user analysis on social
networks, which derives conceptual user representations to improve the inference of user …

The rapid growth of social media services brings a large amount of high-dimensional social
media data at an unprecedented rate. Feature selection is powerful to prepare high …

With the increasing popularity and diversity of social media, users tend to join multiple social
platforms to enjoy different types of services. User identity linkage, which aims to link …

Nowadays people tend to create accounts with multiple social networks (SNs) to enjoy a
variety of social network services. User identity linkage (UIL) aims to identify those multiple …

User identity linkage (UIL) across social networks has recently attracted an increasing
amount of attention due to its significant research challenges and practical value. Most of the …

Network embedding is an important pre-process for analysing large scale information
networks. Several network embedding algorithms have been proposed for unsigned social …

In this work, we investigate the user identity linkage task across different social media
platforms based on heterogeneous multi-modal posts and social connections. This task is …