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 …

Social networking is an interactive Internet of Things. The symmetry of the network can
reflect the similar friendships of users on different social networks. A user's behavior habits …

The precision of user identification is low since the subjective weighting algorithms ignore
the special meanings and effects of attributes in applications. To solve this problem, an …

Identification of anonymous identical users of cross-platforms refers to the recognition of the
accounts belonging to the same individual among multiple Social Network (SN) platforms …

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 …

Recently, the problem of user identification across multiple social networks (UIAMSNs) has
attracted considerable attention since it is a prerequisite for many downstream tasks and …

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

Matching user accounts can help us build better users' profiles and benefit many
applications. It has attracted much attention from both industry and academia. Most of …

Social networks are becoming increasingly popular and influential, and users are frequently
registered on multiple networks simultaneously, in many cases leaving large quantities of …

User identification is very helpful for building a better profile of a user. Some works have
been devoted to this issue. However, the existing works with a good performance are mainly …