Search research articles

ABOUT JoVE

Overview Leadership Blog JoVE Help Center

AUTHORS

Publishing Process Editorial Board Scope & Policies Peer Review FAQ Submit

LIBRARIANS

Testimonials Subscriptions Access Resources Library Advisory Board FAQ

RESEARCH

JoVE Journal Methods Collections JoVE Encyclopedia of Experiments Archive

EDUCATION

JoVE Core JoVE Business JoVE Science Education JoVE Lab Manual Faculty Resource Center Faculty Site

Terms & Conditions of Use

Related Concept Videos

Protein Networks

Protein Networks

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,...

Network Covalent Solids

Network Covalent Solids

Network covalent solids contain a three-dimensional network of covalently bonded atoms as found in the crystal structures of nonmetals like diamond, graphite, silicon, and some covalent compounds, such as silicon dioxide (sand) and silicon carbide (carborundum, the abrasive on sandpaper). Many minerals have networks of covalent bonds.
To break or to melt a covalent network solid, covalent bonds must be broken. Because covalent bonds are relatively strong, covalent network solids are typically...

Normal Stress

Normal Stress

Normal stress is a type of stress that occurs when forces act perpendicular, or normal, to a material's cross-sectional area. This stress often arises in structures when subjected to axial loading, which is the application of force along the axis of an object. A practical example of this can be found in bridge truss members.
When a rod is under axial loading, the internal forces and corresponding stress are normal to the plane of the section, so it is termed normal stress. It's important to...

Normal Distribution

Normal Distribution

The normal, a continuous distribution, is the most important of all the distributions. Its graph is a bell-shaped symmetrical curve, which is observed in almost all disciplines. Some of these include psychology, business, economics, the sciences, nursing, and, of course, mathematics. Some instructors may use the normal distribution to help determine students’ grades. Most IQ scores are normally distributed. Often real-estate prices fit a normal distribution. The normal distribution is...

What is Behavior?

What is Behavior?

Behaviors are actions that an organism engages in—they can be related to finding food, reproducing, defending against threats, and many other possible actions. Behaviors include activities related to the environment around the animal—such as migration—as well as social interactions within a species or population. Many behaviors involve motor output—that is, muscle movements—while others involve less visible actions, such as learning.

Normal and Shear Force

Normal and Shear Force

When a beam is subjected to different loads, such as weight, pressure, or other external forces, internal forces are generated within the beam. These forces can have a significant impact on the overall stability and strength of the structure. Engineers use various methods to analyze and determine the magnitude and direction of these internal forces. One common technique used to determine internal forces in beams is the method of sections. This method involves considering an imaginary point or...

You might also read

Related Articles

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

Sort by

Same author

Temporal self-similarity reveals percolation universality classes in complex networks.

Nature communications·2026

Same author

Diffusion-induced instabilities promote cooperation in eco-evolutionary networks.

Proceedings of the National Academy of Sciences of the United States of America·2026

Same author

Mesoscale community organization governs epidemic onset and spread in metapopulations.

Chaos (Woodbury, N.Y.)·2026

Same author

Unifying network connectivity from geodesics to random walks via the random cluster model.

Nature communications·2026

Same author

On the efficiency of pairwise Hamiltonian control to desynchronize the higher-order Kuramoto model.

Chaos (Woodbury, N.Y.)·2026

Same author

Temporal heterogeneity shapes diffusion dynamics in complex networks.

Nature communications·2026

Search research articles

Related Experiment Video

Updated: Feb 1, 2026

A System for Tracking the Dynamics of Social Preference Behavior in Small Rodents

A System for Tracking the Dynamics of Social Preference Behavior in Small Rodents

Published on: November 21, 2019

Structure and dynamical behavior of non-normal networks.

Malbor Asllani^1,2, Renaud Lambiotte¹, Timoteo Carletti²

¹Mathematical Institute, University of Oxford, Woodstock Rd, OX2 6GG Oxford, UK.

Science Advances

|December 15, 2018

Summary

Strong non-normality is common in network science, causing amplified disturbances in dynamical processes. This impacts system stability and eigenvalue interpretation, highlighting the need for new analysis methods.

More Related Videos

Correlative Microscopy for 3D Structural Analysis of Dynamic Interactions

Correlative Microscopy for 3D Structural Analysis of Dynamic Interactions

Published on: June 24, 2013

Probing Structural and Dynamic Properties of Trafficking Subcellular Nanostructures by Spatiotemporal Fluctuation Spectroscopy

Probing Structural and Dynamic Properties of Trafficking Subcellular Nanostructures by Spatiotemporal Fluctuation Spectroscopy

Published on: August 16, 2021

Related Experiment Videos

Last Updated: Feb 1, 2026

A System for Tracking the Dynamics of Social Preference Behavior in Small Rodents

A System for Tracking the Dynamics of Social Preference Behavior in Small Rodents

Published on: November 21, 2019

Correlative Microscopy for 3D Structural Analysis of Dynamic Interactions

Correlative Microscopy for 3D Structural Analysis of Dynamic Interactions

Published on: June 24, 2013

Probing Structural and Dynamic Properties of Trafficking Subcellular Nanostructures by Spatiotemporal Fluctuation Spectroscopy

Probing Structural and Dynamic Properties of Trafficking Subcellular Nanostructures by Spatiotemporal Fluctuation Spectroscopy

Published on: August 16, 2021

Area of Science:

Network science
Complex systems
Dynamical processes

Background:

Empirical networks across various disciplines reveal ubiquitous strong non-normality.
Non-normal network dynamics can lead to transient amplification of disturbances in stable systems.
Eigenvalues in non-normal systems are sensitive to noise, diminishing their physical interpretability.

Purpose of the Study:

To investigate the prevalence and implications of non-normality in empirical networks.
To identify network structural properties associated with non-normality.
To propose models for generating networks with tunable non-normality and explore its application in ecosystem stability.

Main Methods:

Analysis of a diverse collection of empirical networks.
Identification of structural network properties linked to non-normality.
Development of simple models for generating networks with controlled non-normality levels.

Main Results:

Strong non-normality is a widespread characteristic of empirical networks.
Non-normal dynamics can cause significant amplification of initial disturbances, even in linearly stable systems.
Network structure influences non-normality; tunable models were developed.

Conclusions:

Non-normality significantly affects the behavior of dynamical processes on networks.
Metrics capturing non-normality are valuable for assessing the stability of complex systems, such as ecosystems.
Understanding non-normality is crucial for accurate network analysis and prediction.