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Evolutionary Digital Twin-Oriented Complex Networked Systems driven by node features and the mutation of feature

Jiaqi Wen1, Bogdan Gabrys1, Katarzyna Musial1

  • 1Complex Adaptive Systems, Data Science Institute, University of Technology Sydney, Sydney, NSW, Australia.

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This study introduces an evolutionary Digital Twin-Oriented Complex Networked System (DT-CNS) framework to model social systems. It reveals how different node behaviors and social capital influence interaction and infection patterns.

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Area of Science:

  • Complex Systems Science
  • Network Science
  • Computational Social Science

Background:

  • Modeling dynamic social systems with evolving interactions is a significant challenge.
  • Existing models often struggle to capture heterogeneous node behaviors and adaptive preferences.

Purpose of the Study:

  • To propose an evolutionary Digital Twin-Oriented Complex Networked System (DT-CNS) framework.
  • To investigate the impact of heterogeneous node preference mutation styles and social capital on system dynamics.

Main Methods:

  • Developed heterogeneous preference mutation mechanisms for adaptive node decision-making.
  • Incorporated interaction utilities and social capital constraints.
  • Simulated various node mutation styles (inactive, ignorant, egocentric, cooperative, collaborative) within the DT-CNS framework.

Main Results:

  • Heterogeneous preference mutation styles generate diverse interaction and infection patterns.
  • Increased social capital correlates with higher interactions but also elevated infection risks and decision uncertainty.
  • Group decisions are superior to individual decisions in complex networked systems.

Conclusions:

  • Collaborative nodes, under social capital constraints, can enhance interactions, mitigate infection risks, and improve overall utility.
  • The DT-CNS framework provides a novel approach for understanding emergent behaviors in complex social networks.
  • Adaptive strategies and social capital management are crucial for optimizing social system outcomes.