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Target control of linear directed networks based on the path cover problem.

Wataru Someya¹, Tatsuya Akutsu², Jose C Nacher³

¹Department of Information Science, Faculty of Science, Toho University, Funabashi, Chiba, 274-8510, Japan.

Scientific Reports

|July 23, 2024

Summary

This summary is machine-generated.

We developed a new algorithm for target control in complex systems. This method efficiently identifies essential nodes for controlling specific system functions, applicable to biological and engineered networks.

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Area of Science:

Systems Biology
Network Science
Computational Biology

Background:

Controlling complex systems with numerous interconnected nodes is crucial in diverse fields.
Target control, focusing on a subset of nodes, offers a practical approach.
Existing methods for identifying target control nodes lack optimality guarantees or are too complex.

Purpose of the Study:

To introduce an efficient and simple algorithm for identifying the minimal set of driver nodes for target control.
To provide a practical tool for analyzing real-world complex networks.

Main Methods:

An algorithm inspired by the path cover problem was developed.
The algorithm identifies nodes required for target control in polynomial time.
Applied to real-world networks including C. elegans and Drosophila connectomes, and plant metabolic networks.

Main Results:

The algorithm efficiently identifies essential nodes for target control.
Analysis revealed differences in neural system control requirements between C. elegans and Drosophila.
Evolutionary trends in plant metabolic network control were uncovered.

Conclusions:

The proposed algorithm offers an efficient solution for target control in complex systems.
The findings provide insights into the structural and evolutionary properties of biological networks.
This approach facilitates the understanding and manipulation of complex system functions.