2 citations · 8 across the 6 of their papers we have counts for
6 papers
How the use of feature selection methods influences the efficiency and accuracy of complex network simulations
Katarzyna Musial, Jiaqi Wen, Andreas Gwyther-Gouriotis
Complex network systems' models are designed to perfectly emulate real-world networks through the use of simulation and link prediction. Complex network systems are defined by node…
Deep Reinforcement Learning for Digital Twin-Oriented Complex Networked Systems
Jiaqi Wen, Bogdan Gabrys, Katarzyna Musial
The Digital Twin Oriented Complex Networked System (DT-CNS) aims to build and extend a Complex Networked System (CNS) model with progressively increasing dynamics complexity toward…
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…
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…
Towards Digital Twin Oriented Modelling of Complex Networked Systems and Their Dynamics: A Comprehensive Survey
Jiaqi Wen, Bogdan Gabrys, Katarzyna Musial
This paper aims to provide a comprehensive critical overview on how entities and their interactions in Complex Networked Systems (CNS) are modelled across disciplines as they appro…