MNERLP-MUL: Merged node and edge relevance based link prediction in multiplex networks
In multiplex networks, nodes can have multiple types of relationships (links) encoded into
different layers such that each layer represents a single type of link. Even though the nature …
different layers such that each layer represents a single type of link. Even though the nature …
User identification across multiple social networks based on naive Bayes model
Recently, the problem of user identification across multiple social networks (UIAMSNs) has
attracted considerable attention since it is a prerequisite for many downstream tasks and …
attracted considerable attention since it is a prerequisite for many downstream tasks and …
HOPLP − MUL: link prediction in multiplex networks based on higher order paths and layer fusion
Multiple kinds of connections (links) may be encoded into distinct layers in multiplex
networks, with each layer representing a particular type of link. Even if the type of linkages in …
networks, with each layer representing a particular type of link. Even if the type of linkages in …
Hackgan: Harmonious cross-network mapping using cyclegan with wasserstein–procrustes learning for unsupervised network alignment
L Yang, X Wang, J Zhang, J Yang, Y Xu… - IEEE Transactions …, 2022 - ieeexplore.ieee.org
Network alignment (NA) that identifies equivalent nodes across networks is an effective tool
for integrating knowledge from multiple networks. The state-of-the-art NA methods learn inter …
for integrating knowledge from multiple networks. The state-of-the-art NA methods learn inter …
Privacy-preserving link prediction in multiple private networks
In many cases, a network may be dispersedly recorded by different participants and each
participant is one part of the original network, and no one is willing to share its data due to …
participant is one part of the original network, and no one is willing to share its data due to …
[HTML][HTML] HE-SNA: an efficient cross-platform network alignment scheme from privacy-aware perspective
L Zhou, XJ Ma, DH Pan, DM Fan, HF Zhang… - Complex & Intelligent …, 2023 - Springer
User alignment across online social network platforms (OSNPs) is a growing concern with
the rapid development of internet technology. In reality, users tend to register different …
the rapid development of internet technology. In reality, users tend to register different …
Collaborative Cross-Network Embedding Framework for Network Alignment
Network alignment aims to identify the corresponding nodes belonging to the same entity
across different networks, which is a fundamental task in various applications. Existing …
across different networks, which is a fundamental task in various applications. Existing …
Development of FriendLink Similarity Metric for Link Prediction in Weighted Multiplex Networks
X Zhang, A Abolfathi - Cybernetics and Systems, 2022 - Taylor & Francis
Link prediction methods can help to reconstruct systems from incomplete datasets, to
understand the structure dynamic complex networks, and to predict future interactions in …
understand the structure dynamic complex networks, and to predict future interactions in …
An Interlayer Link Prediction Method Based on Edge‐Weighted Embedding
H Hu, S Zhang, Y Wang - Complexity, 2023 - Wiley Online Library
Presently, users usually register accounts on online social networks (OSNs). Identifying the
same user in different networks is also known as interlayer link prediction. Most existing …
same user in different networks is also known as interlayer link prediction. Most existing …
A Low-cost, High-impact Node Injection Approach for Attacking Social Network Alignment
Social network alignment (SNA) holds significant importance for various downstream
applications, prompting numerous professionals to develop and share SNA tools …
applications, prompting numerous professionals to develop and share SNA tools …