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 …

User identification across social networks refers to the estimation of whether multiple
accounts on different social networks belong to the same individual. By integrating user …

User identification can help us build better users' profiles and benefit many applications. It
has attracted many scholars' attention. The existing works with good performance are mainly …

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 …

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 …

To take advantage of the full range of services that online social networks (OSNs) offer,
people commonly open several accounts on diverse OSNs where they leave lots of different …

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 …

User identification across multiple social networks is an important task for cross-social
network recommendation, network security, and other related fields. Usernames belonging …

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 …