A new direction in social network analysis: Online social network analysis problems and applications

U Can, B Alatas - Physica A: Statistical Mechanics and its Applications, 2019 - Elsevier
The use of online social networks has made significant progress in recent years as the use
of the Internet has become widespread worldwide as the technological infrastructure and the …

User identity linkage across online social networks: A review

K Shu, S Wang, J Tang, R Zafarani, H Liu - Acm Sigkdd Explorations …, 2017 - dl.acm.org
The increasing popularity and diversity of social media sites has encouraged more and
more people to participate on multiple online social networks to enjoy their services. Each …

Deeplink: A deep learning approach for user identity linkage

F Zhou, L Liu, K Zhang, G Trajcevski… - IEEE INFOCOM 2018 …, 2018 - ieeexplore.ieee.org
The typical aim of User Identity Linkage (UIL) is to detect when users from across different
social platforms are actually one and the same individual. Existing efforts to address this …

Graph embedding for recommendation against attribute inference attacks

S Zhang, H Yin, T Chen, Z Huang, L Cui… - Proceedings of the Web …, 2021 - dl.acm.org
In recent years, recommender systems play a pivotal role in helping users identify the most
suitable items that satisfy personal preferences. As user-item interactions can be naturally …

Cross-domain recommender systems

I Cantador, I Fernández-Tobías, S Berkovsky… - Recommender systems …, 2015 - Springer
The proliferation of e-commerce sites and online social media has allowed users to provide
preference feedback and maintain profiles in multiple systems, reflecting a variety of their …

Privacy in trajectory micro-data publishing: a survey

M Fiore, P Katsikouli, E Zavou, M Cunche… - Transactions on Data …, 2020 - orbit.dtu.dk
We survey the literature on the privacy of trajectory micro-data, ie, spatiotemporal
information about the mobility of individuals, whose collection is becoming increasingly …

Comprehensive privacy analysis on federated recommender system against attribute inference attacks

S Zhang, W Yuan, H Yin - IEEE Transactions on Knowledge …, 2023 - ieeexplore.ieee.org
In recent years, recommender systems are crucially important for the delivery of
personalized services that satisfy users' preferences. With personalized recommendation …

Cross-platform identification of anonymous identical users in multiple social media networks

X Zhou, X Liang, H Zhang, Y Ma - IEEE transactions on …, 2015 - ieeexplore.ieee.org
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 …

Linking users across domains with location data: Theory and validation

C Riederer, Y Kim, A Chaintreau, N Korula… - Proceedings of the 25th …, 2016 - dl.acm.org
Linking accounts of the same user across datasets--even when personally identifying
information is removed or unavailable--is an important open problem studied in many …

Attribute inference attacks in online social networks

NZ Gong, B Liu - ACM Transactions on Privacy and Security (TOPS), 2018 - dl.acm.org
We propose new privacy attacks to infer attributes (eg, locations, occupations, and interests)
of online social network users. Our attacks leverage seemingly innocent user information …