User naming conventions mapping learning for social network alignment
Z Yuan, L Yan, G Xiaoyu, S Xian… - 2021 13th International …, 2021 - ieeexplore.ieee.org
The existing research on social network alignment using usernames is mainly based on the
similarity between usernames calculated by different classifiers. However, if the number of …
similarity between usernames calculated by different classifiers. However, if the number of …
DENA: display name embedding method for Chinese social network alignment
Y Li, H Liu - Neural Computing and Applications, 2023 - Springer
Social network alignment, which aims at finding node correspondences between social
networks, is the cornerstone of fusing big data from different social networks. Most of social …
networks, is the cornerstone of fusing big data from different social networks. Most of social …
Social network alignment: a bi-layer graph attention neural networks based method
M Lu, Y Dai, Z Zhang - Applied Intelligence, 2022 - Springer
The task of social network alignment is to identify the user nodes which are active in multiple
social networks simultaneously, thus the information from multiple social networks can be …
social networks simultaneously, thus the information from multiple social networks can be …
A Semantic-enhancement-based social network user-alignment algorithm
User alignment can associate multiple social network accounts of the same user. It has
important research implications. However, the same user has various behaviors and friends …
important research implications. However, the same user has various behaviors and friends …
JARUA: Joint Embedding of Attributes and Relations for User Alignment across Social Networks
User alignment (UA), a central issue for social network analysis, aims to recognize the same
natural persons across different social networks. Existing studies mainly focus on the …
natural persons across different social networks. Existing studies mainly focus on the …
Adversarial learning for weakly-supervised social network alignment
Nowadays, it is common for one natural person to join multiple social networks to enjoy
different kinds of services. Linking identical users across multiple social networks, also …
different kinds of services. Linking identical users across multiple social networks, also …
User Alignment Across Social Networks Based On ego-Network Embedding
Cross-social network user alignment is to find users with the same identity in multiple social
networks. It has important applications in natural and scientific fields, such as link prediction …
networks. It has important applications in natural and scientific fields, such as link prediction …
Unsupervised large-scale social network alignment via cross network embedding
Nowadays, it is common for a person to possess different identities on multiple social
platforms. Social network alignment aims to match the identities that from different networks …
platforms. Social network alignment aims to match the identities that from different networks …
Multi-level graph attention network based unsupervised network alignment
Network alignment is the matching of two networks with corresponding nodes that belong to
the same user or entity. The most common application is to analyze which accounts belong …
the same user or entity. The most common application is to analyze which accounts belong …
Deep heterogeneous social network alignment
The online social network alignment problem aims at inferring the anchor links connecting
the shared users across social networks, which are usually subject to the one-to-one …
the shared users across social networks, which are usually subject to the one-to-one …