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Updated: Jan 31, 2026

Quantification of Protein Interaction Network Dynamics using Multiplexed Co-Immunoprecipitation

Quantification of Protein Interaction Network Dynamics using Multiplexed Co-Immunoprecipitation

Published on: August 21, 2019

Optimal disintegration strategy in multiplex networks.

Mingze Qi¹, Ye Deng¹, Hongzhong Deng¹

¹College of Systems Engineering, National University of Defense Technology, Changsha, Hunan 410073, People's Republic of China.

Chaos (Woodbury, N.Y.)

|January 3, 2019

Summary

This summary is machine-generated.

This study introduces a novel tabu search strategy for network disintegration in multiplex networks. The proposed method effectively identifies critical nodes for network collapse, outperforming existing strategies.

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Area of Science:

Network science
Complex systems analysis
Computational social science

Background:

Network disintegration identifies critical elements for network collapse.
Applications include counter-terrorism and disease control.
Existing research primarily focuses on isolated networks.

Purpose of the Study:

To generalize optimal network disintegration strategies to multiplex networks.
To propose a novel disintegration strategy using tabu search.
To analyze the properties of nodes crucial for optimal disintegration.

Main Methods:

Developed a disintegration strategy based on tabu search.
Applied the strategy to multiplex networks.
Compared performance against typical disintegration strategies.

Main Results:

The proposed tabu search strategy demonstrated superior disintegration effects.
Effectiveness was clearly superior to typical disintegration strategies.
Gained insights into the properties of critical nodes in optimal strategies.

Conclusions:

Tabu search offers an effective approach for network disintegration in multiplex networks.
The strategy provides a powerful tool for network analysis and intervention.
Identified key node properties relevant to network stability and collapse.