Structure based user identification across social networks
X Zhou, X Liang, X Du, J Zhao - IEEE Transactions on …, 2017 - ieeexplore.ieee.org
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 …
accounts belonging to the same individual among multiple Social Network (SN) platforms …
Cross-platform identification of anonymous identical users in multiple social media networks
The last few years have witnessed the emergence and evolution of a vibrant research
stream on a large variety of online social media network (SMN) platforms. Recognizing …
stream on a large variety of online social media network (SMN) platforms. Recognizing …
Exploiting similarities of user friendship networks across social networks for user identification
Y Li, Z Su, J Yang, C Gao - Information Sciences, 2020 - Elsevier
User identification has been attracting considerable attention from academia. Due to the
uniqueness and difficulty of faking friendship networks, some friendship-based methods …
uniqueness and difficulty of faking friendship networks, some friendship-based methods …
A user identification algorithm based on user behavior analysis in social networks
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 …
ignores the role of user-generated data in identity matching. In this paper, we propose a …
Online user representation learning across heterogeneous social networks
Accurate user representation learning has been proven fundamental for many social media
applications, including community detection, recommendation, etc. A major challenge lies in …
applications, including community detection, recommendation, etc. A major challenge lies in …
Connecting users across social media sites: a behavioral-modeling approach
R Zafarani, H Liu - Proceedings of the 19th ACM SIGKDD international …, 2013 - dl.acm.org
People use various social media for different purposes. The information on an individual site
is often incomplete. When sources of complementary information are integrated, a better …
is often incomplete. When sources of complementary information are integrated, a better …
Distribution distance minimization for unsupervised user identity linkage
Nowadays, it is common for one natural person to join multiple social networks to enjoy
different services. Linking identical users across different social networks, also known as the …
different services. Linking identical users across different social networks, also known as the …
User identification across social media
People use various social media sites for different purposes. The information on each site is
often partial. When sources of complementary information are integrated, a better profile of a …
often partial. When sources of complementary information are integrated, a better profile of a …
User identification based on display names across online social networks
Y Li, Y Peng, W Ji, Z Zhang, Q Xu - IEEE Access, 2017 - ieeexplore.ieee.org
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 …
been devoted to this issue. However, the existing works with a good performance are mainly …
You are who you know: inferring user profiles in online social networks
Online social networks are now a popular way for users to connect, express themselves, and
share content. Users in today's online social networks often post a profile, consisting of …
share content. Users in today's online social networks often post a profile, consisting of …