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

Circuit Terminology01:14

Circuit Terminology

3.2K
An electrical network is a system composed of interconnected elements, such as resistors, capacitors, inductors, and voltage or current sources. Unlike a circuit, an electrical network does not necessarily form a closed path. In other words, while all circuits can be considered networks due to their interconnected nature, not every network qualifies as a circuit.
A circuit, on the other hand, is also an interconnected system of electrical elements but must contain one or more closed paths.
3.2K
Introduction to Structures01:30

Introduction to Structures

1.8K
A structure is defined as a system of interconnected members designed to support or transfer forces and successfully withstand the loads acting on them. The internal forces of a structure can be determined by decomposing the structure and analyzing the free-body diagrams of the individual members or of a combination of members. This helps in understanding the structural elements' behavior and ensuring that the structure is stable and can withstand the subjected loads.
There are three main...
1.8K
Relationship Growth01:27

Relationship Growth

282
Interpersonal relationships progress through stages, beginning with awareness and moving toward mutuality, where emotional connections deepen. While many relationships remain at moderate levels of mutuality, deeper connections form through self-disclosure, trust, and interdependence.Self-DisclosureSelf-disclosure involves revealing personal information, starting with surface-level details and gradually progressing to more intimate content. As trust grows, individuals feel more comfortable...
282
Protein Networks02:26

Protein Networks

4.7K
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,...
4.7K
Protein Networks02:26

Protein Networks

2.9K
2.9K
Network Function of a Circuit01:25

Network Function of a Circuit

989
Frequency response analysis in electrical circuits provides vital insights into a circuit's behavior as the frequency of the input signal changes. The transfer function, a mathematical tool, is instrumental in understanding this behavior. It defines the relationship between phasor output and input and comes in four types: voltage gain, current gain, transfer impedance, and transfer admittance. The critical components of the transfer function are the poles and zeros.
989

You might also read

Related Articles

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

Sort by
Same author

Explicit non-Markovian susceptible-infected-susceptible mean-field epidemic threshold for Weibull and Gamma infections but Poisson curings.

Physical review. E·2019
Same author

Pseudoinverse of the Laplacian and best spreader node in a network.

Physical review. E·2018
Same author

Unified mean-field framework for susceptible-infected-susceptible epidemics on networks, based on graph partitioning and the isoperimetric inequality.

Physical review. E·2018
Same author

The epidemic spreading model and the direction of information flow in brain networks.

NeuroImage·2017
Same author

Approximate formula and bounds for the time-varying susceptible-infected-susceptible prevalence in networks.

Physical review. E·2016
Same author

Predicting haemodynamic networks using electrophysiology: The role of non-linear and cross-frequency interactions.

NeuroImage·2016
Same journal

Erratum: Low-dimensional model for adaptive networks of spiking neurons [Phys. Rev. E 111, 014422 (2025)].

Physical review. E·2026
Same journal

Disentangling the effects of many-body forces on depletion interactions.

Physical review. E·2026
Same journal

Charge transport and mode transition in dual-energy electron beam diodes.

Physical review. E·2026
Same journal

Optimization of multisite reactions in complex compartmentalized media.

Physical review. E·2026
Same journal

Origin of geometric cohesion in nonconvex granular materials: Interplay between interdigitation and rotational constraints enhancing frictional stability.

Physical review. E·2026
Same journal

Interaction of walkers with a standing Faraday wave.

Physical review. E·2026
See all related articles

Related Experiment Video

Updated: Mar 21, 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

Interconnectivity structure of a general interdependent network.

P Van Mieghem1

  • 1Faculty of Electrical Engineering, Mathematics and Computer Science, Delft University of Technology, P.O. Box 5031, 2600 GA Delft, The Netherlands.

Physical Review. E
|May 14, 2016
PubMed
Summary
This summary is machine-generated.

This study reveals that regular interconnectivity in multi-layer networks, characterized by constant row and column sums in the interconnectivity matrix B, allows for independent dynamic processes. This regularity is key for complex network behavior.

More Related Videos

Modeling the Functional Network for Spatial Navigation in the Human Brain
05:55

Modeling the Functional Network for Spatial Navigation in the Human Brain

Published on: October 13, 2023

1.6K
Design, Surface Treatment, Cellular Plating, and Culturing of Modular Neuronal Networks Composed of Functionally Inter-connected Circuits
10:32

Design, Surface Treatment, Cellular Plating, and Culturing of Modular Neuronal Networks Composed of Functionally Inter-connected Circuits

Published on: April 15, 2015

9.0K

Related Experiment Videos

Last Updated: Mar 21, 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
Modeling the Functional Network for Spatial Navigation in the Human Brain
05:55

Modeling the Functional Network for Spatial Navigation in the Human Brain

Published on: October 13, 2023

1.6K
Design, Surface Treatment, Cellular Plating, and Culturing of Modular Neuronal Networks Composed of Functionally Inter-connected Circuits
10:32

Design, Surface Treatment, Cellular Plating, and Culturing of Modular Neuronal Networks Composed of Functionally Inter-connected Circuits

Published on: April 15, 2015

9.0K

Area of Science:

  • Network Science
  • Graph Theory
  • Dynamical Systems

Background:

  • Interconnected networks are fundamental in various scientific domains.
  • Understanding the dynamics of these networks requires analyzing their structure.
  • The Laplacian matrix (Q) is a key tool for studying network dynamics.

Purpose of the Study:

  • To investigate the properties of the interconnectivity matrix (B) in two-layer networks.
  • To identify design rules for interconnected networks based on dynamic processes.
  • To explore how network regularity influences emergent behaviors.

Main Methods:

  • Analysis of dynamic processes using the Laplacian matrix (Q).
  • Investigation of the interconnectivity matrix (B) properties, focusing on regular structures (constant row/column sums).
  • Exploration of equitable partitions and their relation to network regularity.

Main Results:

  • A regular structure in the interconnectivity matrix (B) enables the computation of a nontrivial eigenmode of the Laplacian matrix (Q).
  • This eigenmode is independent of the individual network components (G1 and G2).
  • Network regularity, linked to equitable partitions, provides design principles for interconnected systems.

Conclusions:

  • Regularity in the interconnectivity matrix (B) is crucial for achieving intriguing dynamic behaviors in multi-layer networks.
  • The findings extend to general m-layer networks.
  • The study suggests a principled approach to designing complex interconnected systems.