Jove
Visualize
Contact Us
JoVE
x logofacebook logolinkedin logoyoutube logo
ABOUT JoVE
OverviewLeadershipBlogJoVE Help Center
AUTHORS
Publishing ProcessEditorial BoardScope & PoliciesPeer ReviewFAQSubmit
LIBRARIANS
TestimonialsSubscriptionsAccessResourcesLibrary Advisory BoardFAQ
RESEARCH
JoVE JournalMethods CollectionsJoVE Encyclopedia of ExperimentsArchive
EDUCATION
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab ManualFaculty Resource CenterFaculty Site
Terms & Conditions of Use
Privacy Policy
Policies

Related Concept Videos

Protein Networks02:26

Protein Networks

4.6K
An organism can have thousands of different proteins, and these proteins must cooperate to ensure the health of an organism. Proteins bind to other proteins and form complexes to carry out their functions. Many proteins interact with multiple other proteins creating a complex network of protein interactions.
These interactions can be represented through maps depicting protein-protein interaction networks, represented as nodes and edges. Nodes are circles that are representative of a protein,...
4.6K
Protein Networks02:26

Protein Networks

2.9K
2.9K
Stability of structures01:14

Stability of structures

569
In mechanical engineering, the stability of systems under various forces is critical for designing durable and efficient structures. One fundamental way to explore these concepts is by analyzing systems like two rods connected at a pivot point, O, with a torsional spring of spring constant k at the pivot point. This system is similar in appearance to a scissor jack used to change tires on a car. In this case, the arms of the linkage (equivalent to the rods in this system) are entirely vertical,...
569
Control Systems01:10

Control Systems

2.0K
Control systems are everywhere in contemporary society, influencing diverse applications from aerospace to automated manufacturing. These systems can be found naturally within biological processes, such as blood sugar regulation and heart rate adjustment in response to stress, as well as in man-made systems like elevators and automated vehicles. A control system is essentially a network of subsystems and processes that collaboratively convert specific inputs into desired outputs.
At the heart...
2.0K
Multimachine Stability01:25

Multimachine Stability

600
Multimachine stability analysis is crucial for understanding the dynamics and stability of power systems with multiple synchronous machines. The objective is to solve the swing equations for a network of M machines connected to an N-bus power system.
In analyzing the system, the nodal equations represent the relationship between bus voltages, machine voltages, and machine currents. The nodal equation is given by:
600
Current Growth And Decay In RL Circuits01:30

Current Growth And Decay In RL Circuits

4.8K
The current growth and decay in RL circuits can be understood by considering a series RL circuit consisting of a resistor, an inductor, a constant source of emf, and two switches. When the first switch is closed, the circuit is equivalent to a single-loop circuit consisting of a resistor and an inductor connected to a source of emf. In this case, the source of emf produces a current in the circuit. If there were no self-inductance in the circuit, the current would rise immediately to a steady...
4.8K

You might also read

Related Articles

Articles linked to this work by shared authors, journal, and citation graph.

Sort by
Same author

High-salt diet promotes atopic dermatitis by partially enhancing intestinal SGK1/ENaC signaling and destroying gut <i>Lactobacillus</i>-maintained systemic type 1 interferon.

Frontiers in cellular and infection microbiology·2026
Same author

Innovative mucosal nanocarrier systems for enhanced immune response against respiratory pathogens.

Journal of advanced research·2026
Same author

Editorial: Genomic insights into sheep and goat breeding efficiency, volume II.

Frontiers in veterinary science·2026
Same author

All-trans retinoic acid modulates proliferation and apoptosis of secondary hair follicle-dermal papilla cells in cashmere goats via the TGF-<i>β</i>2/Smad2/3 pathway.

Frontiers in veterinary science·2026
Same author

Over-Expression of AtATG8h Enhances Resistance Against Biotrophic Pathogens but Compromises Resistance Against Necrotrophic Pathogen in Arabidopsis.

Physiologia plantarum·2026
Same author

Multigated Photochromic Materials: Mechanism, Progress, and Application.

Research (Washington, D.C.)·2026

Related Experiment Video

Updated: Mar 10, 2026

Inherent Dynamics Visualizer, an Interactive Application for Evaluating and Visualizing Outputs from a Gene Regulatory Network Inference Pipeline
10:44

Inherent Dynamics Visualizer, an Interactive Application for Evaluating and Visualizing Outputs from a Gene Regulatory Network Inference Pipeline

Published on: December 7, 2021

2.7K

Robustness of controlling edge dynamics in complex networks against node failure.

Shao-Peng Pang1,2, Fei Hao1,2, Wen-Xu Wang3,4

  • 1The Seventh Research Division, School of Automation Science and Electrical Engineering, Beihang University, Beijing, 100191, China.

Physical Review. E
|December 15, 2016
PubMed
Summary
This summary is machine-generated.

Controlling complex networks against node failure is robust in sparse, inhomogeneous networks. However, strong degree correlations can reduce this control robustness, necessitating strategies like adding circuit links.

More Related Videos

Soft Pneumatic Robot Modulates Graph Theory Metrics of Brain Network for Hand Rehabilitation After Stroke
05:30

Soft Pneumatic Robot Modulates Graph Theory Metrics of Brain Network for Hand Rehabilitation After Stroke

Published on: October 10, 2025

580

Related Experiment Videos

Last Updated: Mar 10, 2026

Inherent Dynamics Visualizer, an Interactive Application for Evaluating and Visualizing Outputs from a Gene Regulatory Network Inference Pipeline
10:44

Inherent Dynamics Visualizer, an Interactive Application for Evaluating and Visualizing Outputs from a Gene Regulatory Network Inference Pipeline

Published on: December 7, 2021

2.7K
Soft Pneumatic Robot Modulates Graph Theory Metrics of Brain Network for Hand Rehabilitation After Stroke
05:30

Soft Pneumatic Robot Modulates Graph Theory Metrics of Brain Network for Hand Rehabilitation After Stroke

Published on: October 10, 2025

580

Area of Science:

  • Network science
  • Control theory
  • Complex systems

Background:

  • Controlling complex networks is crucial for their stability and function.
  • Node failures can significantly disrupt network dynamics and controllability.
  • Understanding network robustness against such failures is a key challenge.

Purpose of the Study:

  • To evaluate and analyze the robustness of controlling edge dynamics in complex networks against node failure.
  • To identify network properties that influence control robustness.
  • To propose strategies for enhancing control robustness.

Main Methods:

  • Categorization of nodes into three types for robustness quantification.
  • Analysis of degree distribution's impact on node categories.
  • Simulation of model networks and analytic calculations.
  • Evaluation of real-world network data.
  • Proposal of an adding circuit-link strategy.

Main Results:

  • Node category percentages correlate with network degree distribution.
  • Sparse inhomogeneous networks show strong control robustness regarding ordinary nodes.
  • Strong positive correlation between in- and out-degrees diminishes control robustness.
  • Most real-world networks possess few critical nodes, requiring minimal intervention.

Conclusions:

  • Network structure, particularly degree distribution and correlations, significantly impacts control robustness.
  • Sparse inhomogeneous networks are generally robust, but degree correlations pose a challenge.
  • An adding circuit-link strategy can optimize edge controllability robustness.