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 …

As the popularity of online social networks has grown, more and more users now hold
multiple virtual accounts at the same time. Under these circumstances, identifying multiple …

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

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 …

User identification can help us build more comprehensive user information. It has been
attracting much attention from academia. Most of the existing works are profile‐based user …

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 …

Identifying users across social media has practical applications in many research areas,
such as user behavior prediction, commercial recommendation systems, and information …

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 …

Due to the distinct functionalities of various social network platforms, users often register
accounts on different platforms, posing significant challenges for unified user management …

Matching user accounts across social networks is helpful for building better user profile,
which has practical significance for many applications. It has attracted many scholars' …