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Structural Controllability of Temporal Networks with a Single Switching Controller.

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This study introduces temporal trees for controlling complex networks. Novel switching strategies efficiently improve network controllability by optimizing controller placement over time.

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Area of Science:

  • Complex Systems Science
  • Network Science
  • Control Theory

Background:

  • Temporal networks are complex systems with evolving structures.
  • Controlling these networks is challenging due to their dynamic nature.
  • Temporal trees represent essential network components and their active times.

Purpose of the Study:

  • To enhance the controllability of temporal networks.
  • To investigate the use of temporal trees for network control.
  • To develop efficient switching strategies for controller placement.

Main Methods:

  • Defining temporal trees within temporal networks.
  • Designing switching strategies for a mobile controller.
  • Verifying strategies using synthetic and empirical temporal network data.

Main Results:

  • The proposed switching strategies significantly improve network controllability.
  • More nodes are controlled within a limited time frame.
  • The effectiveness is demonstrated on various temporal network models.

Conclusions:

  • Temporal trees are effective tools for improving temporal network control.
  • Optimized controller switching strategies enhance performance.
  • This approach offers a promising direction for managing dynamic complex systems.