336 citations · 1k across the 27 of their papers we have counts for
29 papers
Network Disruption via Continuous Batch Removal: The Case of Sicilian Mafia
Mingshan Jia, Pasquale De Meo, Bogdan Gabrys +1
Network disruption is pivotal in understanding the robustness and vulnerability of complex networks, which is instrumental in devising strategies for infrastructure protection, epi…
Heterogeneous Feature Representation for Digital Twin-Oriented Complex Networked Systems
Jiaqi Wen, Bogdan Gabrys, Katarzyna Musial
Building models of Complex Networked Systems (CNS) that can accurately represent reality forms an important research area. To be able to reflect real world systems, the modelling n…
Digital Twin-Oriented Complex Networked Systems based on Heterogeneous Node Features and Interaction Rules
Jiaqi Wen, Bogdan Gabrys, Katarzyna Musial
This study proposes an extendable modelling framework for Digital Twin-Oriented Complex Networked Systems (DT-CNSs) with a goal of generating networks that faithfully represent rea…
Machine Learning for Administrative Health Records: A Systematic Review of Techniques and Applications
Adrian Caruana, Madhushi Bandara, Katarzyna Musial +2
Machine learning provides many powerful and effective techniques for analysing heterogeneous electronic health records (EHR). Administrative Health Records (AHR) are a subset of EH…
Review and Assessment of Digital Twin--Oriented Social Network Simulators
Jiaqi Wen, Bogdan Gabrys, Katarzyna Musial
The ability to faithfully represent real social networks is critical from the perspective of testing various what-if scenarios which are not feasible to be implemented in a real sy…
A Network Science perspective of Graph Convolutional Networks: A survey
Mingshan Jia, Bogdan Gabrys, Katarzyna Musial
The mining and exploitation of graph structural information have been the focal points in the study of complex networks. Traditional structural measures in Network Science focus on…