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 …

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 …

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

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 …

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 …

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 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 …

Recognizing identical users across different social networks remains challenging in recent
years. Clearly, cross-platform user identification can play promising roles for many …

Users have their accounts on multiple Online Social Networks (OSNs) to access a variety of
content and connect to their friends. Consequently, user behaviors get distributed across …