User attributes, such as occupation, education, and location, are important for many
applications. In this paper, we study the problem of profiling user attributes in social network …

Most users on social media have intrinsic characteristics, such as interests and political
views, that can be exploited to identify and track them, thus raising privacy and identity …

User alignment can associate multiple social network accounts of the same user. It has
important research implications. However, the same user has various behaviors and friends …

Online social networks (OSNs) have successfully changed the way people interact. Online
interactions among people span geographical boundaries and interweave with different …

User attribute classification is an important research topic in social media user profiling,
which has great commercial value in modern advertisement systems. Existing research on …

Community detection is an important aspect of social network analysis, but social factors
such as user intimacy, influence, and user interaction behavior are often overlooked as …

Anchor user identification across social networks is a classification task which determines
whether a pair of accounts from different social networks belong to the same user. It is a …

User alignment (UA), a central issue for social network analysis, aims to recognize the same
natural persons across different social networks. Existing studies mainly focus on the …

As the number of Internet users and social networking apps has grown in recent years,
interest-based recommendation systems have been more commonly used in practice. Given …

Knowing user demographic traits offers a great potential for public information. Most
research have used local features to predict user demographic traits. Since this method did …