In this paper we study the identifiability of users across social networks, with a trainable
combination of different similarity metrics. This application is becoming particularly …

Nowadays, people prefer to take part in multiple social networks to enjoy different kinds of
services. Consequently, a significant task is to identify users across networks. Most state-of …

An interesting problem in online social networks is the identification of user characteristics
and the analysis of how these are reflected in the graph structure evolution. The basis of …

More often than not, people are active in more than one social network. Identifying users
from multiple heterogeneous social networks and integrating the different networks is a …

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 …

This paper describes a user identification method conducted across online social networks
(OSNs) using information regarding friends' locations, in contrast to a conventional method …

Social Networks are becoming increasingly popular in our daily communication and rapid
developments in data gathering technology have led to large amounts of data that are …

Identifying users across social networks has got more and more attention. The existing
methods mainly estimate the pairwise similarity between users in different social networks …

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

In order to fit the diverse scenes in life, more and more people choose to join different types
of social networks simultaneously. These different networks often contain the information …