… into a single integrated environment would enable the user to keep up-to-date with their …
to identify users based on profile matching. We use data from two popular social networks to …

… 5.3 Social Network Experiments In this section, we use ground truth datasets to evaluate the
user identification resolution. In order to verify FRUI-P in different types of SNs, we collected …

… to identify individuals across social media sites. This paper aims to address the cross-media
user identification … identities of individuals across social media sites, study the feasibility of …

… To address this issue, recent works in [97], this work have considered non-friend relationships
when exploiting network topology for user identification by proposing an intimacy function, …

… 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 …

… of user profiles by different applications, and is based on user profile … user identification,
and this forms the focus of the current paper. A new user identification method based on Multiple …

… As user identity linkage across online social networks is a very important and challenging …
of recent studies of user identity linkage methods across online social networks and give a …

… of user data across different social networks. Therefore, this paper proposes an across social
networks user identification method based on user … We analyzed the user’s personalized …

… between inconsistent tags among different social networks. By using extracted features
from … for performing user identity matching between two social network sites. Evaluation on …

… on user identification, we propose a multiple user information user identification framework
(… obtain the user data from two popular social networks, Twitter and Facebook. Secondly, we …