… social networks is presented. We adopt three real social network datasets for user identification.
… 2) We present a supervised machine learning based solution to user identification only …

… system architecture for identify the user across multiple social media. … In addition, to identify
the user target account of any social … We use 138 users to conduct our experiment. The result …

… in different social networks. Since each user data has a different effect on user identification,
we … to assign weights for user data, while the weight-based similarity vector is constructed for …

… and sharing of user profiles by different applications, and is based on user profile integration…
task is user identification, and this forms the focus of the current paper. A new user identific…

… -based user identification and demonstrate the benefits of incorporating the friend network in
the … successfully identifies up to 93% of duplicated users across social networking websites. …

… To alleviate the above predicament, we propose a user identification algorithm based on
naive Bayes model (UI-NBM) within the network feature-based framework. First, a matching …

… In order to address the above-mentioned limitations, we propose a novel User IDentification
method with Spatio-Temporal Awareness (called UIDwST), while we consider the …

… social network G f is the same as G t . As shown in Figure 1, we can define user identification
across social networks … solves the user identification between two popular social networks, …

… The ability to link a LBSN service such as Foursquare with other social networks raises further
privacy issues. A Facebook user who is not using Foursquare may inadvertently have their …

… user-generated information for user identification. In this paper, we propose a friendship
networks-based user identification across social networks … nodes of a user to characterize the …