User identification has been attracting considerable attention from academia. Due to the
uniqueness and difficulty of faking friendship networks, some friendship-based methods …

In many online services, we are identified by self-chosen usernames, also known as
nicknames or pseudonyms. Usernames have been studied quite extensively within several …

The precision of the conventional user identification algorithm is not satisfactory because it
ignores the role of user-generated data in identity matching. In this paper, we propose a …

Online users are typically active on multiple social media networks (SMNs), which constitute
a multiplex social network. With improvements in cybersecurity awareness, users …

User identification aims at matching user accounts across social sites, which benefits many
real-world applications. Existing works based on user trajectories usually address spatial …

With the advent of the era of the Internet of Things (IoT), a large number of interconnected
smart devices form a huge network. The network can be abstracted as a graph, and we …

To enjoy more social network services, users nowadays are usually involved in multiple
online sites at the same time. Aligned social networks provide more information to alleviate …

Interlayer link prediction aims at matching the same entities across different layers of the
multiplex network. Existing studies attempt to predict more accurately, efficiently, or …

In recent years, we have witnessed increasing attention paid to the problem of cross-site
user identification (CSUI) with the bloom of social media. Despite noticeable progress in this …

With the popularization of the Internet and the arrival of the big data era, numerous different
social networks (SNs) have emerged to satisfy users' social needs and offer them rich …