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

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 …

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 …

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 …

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

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 …

随着互联网的普及和不断发展, 用户通过多个社交网络进行社交活动, 使用社交网络带来的丰富
内容和服务. 通过识别出不同社交网络上的同一用户, 可以有助于进行用户推荐, 行为分析 …

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 …

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 …

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 …