A survey on privacy in social media: Identification, mitigation, and applications

G Beigi, H Liu - ACM Transactions on Data Science, 2020 - dl.acm.org
The increasing popularity of social media has attracted a huge number of people to
participate in numerous activities on a daily basis. This results in tremendous amounts of …

Dplink: User identity linkage via deep neural network from heterogeneous mobility data

J Feng, M Zhang, H Wang, Z Yang, C Zhang… - The world wide web …, 2019 - dl.acm.org
Online services are playing critical roles in almost all aspects of users' life. Users usually
have multiple online identities (IDs) in different online services. In order to fuse the …

Privacy in social media: Identification, mitigation and applications

G Beigi, H Liu - arXiv preprint arXiv:1808.02191, 2018 - arxiv.org
The increasing popularity of social media has attracted a huge number of people to
participate in numerous activities on a daily basis. This results in tremendous amounts of …

User Identity Linkage on Social Networks: A Review of Modern Techniques and Applications

C Senette, M Siino, M Tesconi - IEEE Access, 2024 - ieeexplore.ieee.org
In an Online Social Network (OSN), users can create a unique public persona by crafting a
user identity that may encompass profile details, content, and network-related information …

Siamese neural networks for user identity linkage through web browsing

Y Qiao, Y Wu, F Duo, W Lin… - IEEE transactions on …, 2019 - ieeexplore.ieee.org
Linking online identities of users among countless heterogeneous network services on the
Internet can provide an explicit digital representation of users, which can benefit both …

High-performance spatiotemporal trajectory matching across heterogeneous data sources

X Gong, Z Huang, Y Wang, L Wu, Y Liu - Future Generation Computer …, 2020 - Elsevier
In the era of big data, the movement of the same object or person can be recorded by
different devices with different measurement accuracies and sampling rates. Matching and …

User Identity Linkage across Social Networks with the Enhancement of Knowledge Graph and Time Decay Function

H Gao, Y Wang, J Shao, H Shen, X Cheng - Entropy, 2022 - mdpi.com
Users participate in multiple social networks for different services. User identity linkage aims
to predict whether users across different social networks refer to the same person, and it has …

User identity linkage via co-attentive neural network from heterogeneous mobility data

J Feng, Y Li, Z Yang, M Zhang, H Wang… - … on Knowledge and …, 2020 - ieeexplore.ieee.org
Online services are playing critical roles in almost all aspects of users' life. Users usually
have multiple online identities (IDs) in different online services. In order to fuse the …

EgoMUIL: Enhancing Spatio-temporal User Identity Linkage in Location-Based Social Networks with Ego-Mo Hypergraph

H Huang, F Ding, H Yin, G Liu… - IEEE Transactions on …, 2023 - ieeexplore.ieee.org
Users tend to own multiple accounts on different location-based social network (LBSN)
platforms, and they typically engage with diverse social circles on each platform within the …

User re-identification via human mobility trajectories with siamese transformer networks

B Wang, M Zhang, P Ding, T Yang, Y Jin, Y Xu - Applied Intelligence, 2024 - Springer
People are keen to share their geospatial locations to access social activities or services via
mobile internet, which provides a new perspective for us to understand human mobility …