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Network alignment
Complex networks are frequently employed to model physical or virtual complex systems.
When certain entities exist across multiple systems simultaneously, unveiling their …
When certain entities exist across multiple systems simultaneously, unveiling their …
Targeting attack hypergraph networks
In modern systems, from brain neural networks to social group networks, pairwise
interactions are not sufficient to express higher-order relationships. The smallest unit of their …
interactions are not sufficient to express higher-order relationships. The smallest unit of their …
Link prediction in multiplex networks using a novel multiple-attribute decision-making approach
H Luo, L Li, Y Zhang, S Fang, X Chen - Knowledge-Based Systems, 2021 - Elsevier
Recently, the problem of link prediction in multiplex networks has received increasing
interest from researchers. Multiplex networks that model different types of relationships …
interest from researchers. Multiplex networks that model different types of relationships …
Identifying supply chain R&D partners via multilayer institutional cooperation network and tailored link prediction
Z Liu, Y Wang, J Feng - Computers & Industrial Engineering, 2025 - Elsevier
Research and development (R&D) cooperation innovation in the supply chain is
increasingly crucial. Existing studies on R&D cooperation mostly emphasize partner …
increasingly crucial. Existing studies on R&D cooperation mostly emphasize partner …
A novel link prediction model in multilayer online social networks using the development of Katz similarity metric
Z Gao, A Rezaeipanah - Neural Processing Letters, 2023 - Springer
The analysis of online social networks (OSNs) using graph theory is performed with the aim
of extracting knowledge embedded in these networks. Link prediction (LP) problem is an …
of extracting knowledge embedded in these networks. Link prediction (LP) problem is an …
A classification approach to link prediction in multiplex online ego-social networks
A Rezaeipanah, G Ahmadi… - Social Network Analysis …, 2020 - Springer
Online social networks are the inseparable element of current modern societies and
significantly influence forming and consolidating social relationships. In nature, these …
significantly influence forming and consolidating social relationships. In nature, these …
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 …
Detecting offensive language based on graph attention networks and fusion features
The pervasiveness of offensive language on social networks has caused adverse effects on
society, such as abusive behavior online. It is urgent to detect offensive language and curb …
society, such as abusive behavior online. It is urgent to detect offensive language and curb …
Interlayer link prediction in multiplex social networks based on multiple types of consistency between embedding vectors
Online users are typically active on multiple social media networks (SMNs), which constitute
a multiplex social network. With improvements in cybersecurity awareness, users …
a multiplex social network. With improvements in cybersecurity awareness, users …
Cross-network representation learning for anchor users on multiplex heterogeneous social network
Online users are typically involved in multiple online social networks simultaneously to enjoy
a variety of social network services, thus bringing about the interconnection of online social …
a variety of social network services, thus bringing about the interconnection of online social …