Toward privacy preservation using clustering based anonymization: recent advances and future research outlook
With the continuous increase in avenues of personal data generation, privacy protection has
become a hot research topic resulting in various proposed mechanisms to address this …
become a hot research topic resulting in various proposed mechanisms to address this …
Privacy leakage via de-anonymization and aggregation in heterogeneous social networks
Though representing a promising approach for personalization, targeting, and
recommendation, aggregation of user profiles from multiple social networks will inevitably …
recommendation, aggregation of user profiles from multiple social networks will inevitably …
MAUIL: Multilevel attribute embedding for semisupervised user identity linkage
User identity linkage (UIL) across social networks has recently attracted an increasing
amount of attention due to its significant research challenges and practical value. Most of the …
amount of attention due to its significant research challenges and practical value. Most of the …
[PDF][PDF] MASTER: across Multiple social networks, integrate Attribute and STructure Embedding for Reconciliation.
Recently, reconciling social networks receives significant attention. Most of the existing
studies have limitations in the following three aspects: multiplicity, comprehensiveness and …
studies have limitations in the following three aspects: multiplicity, comprehensiveness and …
When behavior analysis meets social network alignment
Recently, aligning users among different social networks has received significant attention.
However, most of the existing studies do not consider users' behavior information during the …
However, most of the existing studies do not consider users' behavior information during the …
Reconciling multiple social networks effectively and efficiently: An embedding approach
Recently, reconciling social networks, identifying the accounts belonging to the same
individual across social networks, receives significant attention from both academic and …
individual across social networks, receives significant attention from both academic and …
Reinforced multi-modal cyberbullying detection with subgraph neural networks
K Luo, C Zheng, Z Guan - International Journal of Machine Learning and …, 2024 - Springer
Social networks have become an indispensable part of contemporary life, and the
widespread occurrence of cyberbullying among young people on these sites has sparked …
widespread occurrence of cyberbullying among young people on these sites has sparked …
Inferring anchor links based on social network structure
Nowadays, people usually participate in multiple social networks simultaneously, eg,
Facebook and Twitter. Formally, the correspondences of the accounts that belong to the …
Facebook and Twitter. Formally, the correspondences of the accounts that belong to the …
A novel approach using context matching algorithm and knowledge inference for user identification in social networks
User identifications are in searching Online Social Networks (OSN) to find identical users
among different social sites in many data sources (data integration, data enrichment …
among different social sites in many data sources (data integration, data enrichment …
Opinion-based co-occurrence network for identifying the most influential product features
Nowadays, social networking sites such as Facebook, Twitter, LinkedIn, YouTube, and other
e-commerce websites produce a large number of text reviews. These text reviews mostly …
e-commerce websites produce a large number of text reviews. These text reviews mostly …