GeekMAN: Geek-oriented username matching across online networks
How can we identify malicious hackers participating in different online platforms using their
usernames only? Disambiguating users across online platforms (eg security forums, GitHub …
usernames only? Disambiguating users across online platforms (eg security forums, GitHub …
BASS: A bootstrapping approach for aligning heterogenous social networks
X Cao, Y Yu - Machine Learning and Knowledge Discovery in …, 2016 - Springer
Most people now participate in more than one online social network (OSN). However, the
alignment indicating which accounts belong to same natural person is not revealed. Aligning …
alignment indicating which accounts belong to same natural person is not revealed. Aligning …
User alignment with jumping seed alignment information propagation
User Alignment is to find users belonging to a same real person on different social networks
and has become a fundamental task for many sequent applications such as cross-network …
and has become a fundamental task for many sequent applications such as cross-network …
Display name-based anchor user identification across chinese social networks
Y Li, H Cui, H Liu, X Li - 2020 IEEE International Conference on …, 2020 - ieeexplore.ieee.org
Anchor user identification across social networks is a classification task which determines
whether a pair of accounts from different social networks belong to the same user. It is a …
whether a pair of accounts from different social networks belong to the same user. It is a …
Aligning Users Across Social Networks via Intra and Inter Attentions
In recent years, aligning users across different social networks receives a significant
attention. Previous studies solve the problem based on attributes or topology structure …
attention. Previous studies solve the problem based on attributes or topology structure …
Matching user accounts across social networks based on username and display name
Matching user accounts across social networks is helpful for building better user profile,
which has practical significance for many applications. It has attracted many scholars' …
which has practical significance for many applications. It has attracted many scholars' …
Adaptive network alignment with unsupervised and multi-order convolutional networks
Network alignment is the problem of pairing nodes between two graphs such that the paired
nodes are structurally and semantically similar. A well-known application of network …
nodes are structurally and semantically similar. A well-known application of network …
Banana: 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 …
MC2: Unsupervised Multiple Social Network Alignment
Social network alignment, identifying social accounts of the same individual across different
social networks, shows fundamental importance in a wide spectrum of applications, such as …
social networks, shows fundamental importance in a wide spectrum of applications, such as …
MEgo2Vec: Embedding matched ego networks for user alignment across social networks
Aligning users across multiple heterogeneous social networks is a fundamental issue in
many data mining applications. Methods that incorporate user attributes and network …
many data mining applications. Methods that incorporate user attributes and network …