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

Node Analysis for AC Circuits01:14

Node Analysis for AC Circuits

804
Consider an angioplasty system featuring a catheter equipped with a turbine, a critical tool for removing plaque deposits from coronary arteries. This intricate medical device operates using a circuit model reminiscent of a dual-node RLC circuit powered by a current-controlled voltage source.
To unravel the complexities of this system, nodal analysis is employed, a powerful technique founded on Kirchhoff's current law (KCL), which remains valid for phasors. AC circuits can effectively be...
804
Network Function of a Circuit01:25

Network Function of a Circuit

1.1K
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.
1.1K
Multimachine Stability01:25

Multimachine Stability

698
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:
698
Distributed Loads: Problem Solving01:21

Distributed Loads: Problem Solving

1.3K
Beams are structural elements commonly employed in engineering applications requiring different load-carrying capacities. The first step in analyzing a beam under a distributed load is to simplify the problem by dividing the load into smaller regions, which allows one to consider each region separately and calculate the magnitude of the equivalent resultant load acting on each portion of the beam. The magnitude of the equivalent resultant load for each region can be determined by calculating...
1.3K
Sequence Networks of Rotating Machines01:24

Sequence Networks of Rotating Machines

592
A Y-connected synchronous generator, grounded through a neutral impedance, is designed to produce balanced internal phase voltages with only positive-sequence components. The generator's sequence networks include a source voltage that is exclusively in the positive-sequence network. The sequence components of line-to-ground voltages at the generator terminals illustrate this configuration.
Zero-sequence current induces a voltage drop across the generator's neutral impedance and other...
592
Relation Between the Distributed Load and Shear01:23

Relation Between the Distributed Load and Shear

1.2K
Understanding the relationship between the distributed load and shear force in structural analysis is crucial for analyzing beams subjected to various loading conditions. Consider the case of a beam experiencing a distributed load, two concentrated loads, and a couple moment.
1.2K

You might also read

Related Articles

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

Sort by
Same author

Social polarization promoted by sparse higher-order interactions.

Communications physics·2026
Same author

Explosive adoption of corrupt behaviors in social systems with higher-order interactions.

Chaos (Woodbury, N.Y.)·2025
Same author

A novel approximation of underwater robotic vehicle controller exploiting multi-point matching.

Scientific reports·2025
Same author

Generating Simple Cyclic Memristive Neural Network Circuit With Controllable Multiscroll Attractors and Multivariable Amplitude Control.

IEEE transactions on neural networks and learning systems·2025
Same author

The mechanomyographic dataset of hand gestures harvested using an accelerometer and gyroscope.

Data in brief·2025
Same author

In itinere infections covertly undermine localized epidemic control in metapopulations.

Chaos (Woodbury, N.Y.)·2025
Same journal

Multiscale dynamics of special memristive ion channels in a neural circuit.

Chaos (Woodbury, N.Y.)·2026
Same journal

Symmetry-protected delay spectroscopy in oscillator networks.

Chaos (Woodbury, N.Y.)·2026
Same journal

Mesoscale community organization governs epidemic onset and spread in metapopulations.

Chaos (Woodbury, N.Y.)·2026
Same journal

Topological dependence of viral mutation spread in complex host-interaction networks.

Chaos (Woodbury, N.Y.)·2026
Same journal

Multifractal signatures of Hamiltonian chaos in Hyperion's rotational dynamics.

Chaos (Woodbury, N.Y.)·2026
Same journal

Exploring mechanisms for reversal of flow in tunicate hearts.

Chaos (Woodbury, N.Y.)·2026
See all related articles

Related Experiment Video

Updated: May 4, 2026

Network Analysis of Foramen Ovale Electrode Recordings in Drug-resistant Temporal Lobe Epilepsy Patients
09:32

Network Analysis of Foramen Ovale Electrode Recordings in Drug-resistant Temporal Lobe Epilepsy Patients

Published on: December 18, 2016

13.7K

Analysis of remote synchronization in complex networks.

Lucia Valentina Gambuzza1, Alessio Cardillo2, Alessandro Fiasconaro2

  • 1Dipartimento di Ingegneria Elettrica Elettronica e Informatica, Università degli Studi di Catania, viale A. Doria 6, 95125 Catania, Italy.

Chaos (Woodbury, N.Y.)
|January 7, 2014
PubMed
Summary
This summary is machine-generated.

Remote synchronization, a novel clustering state in networks, is now shown to exist in complex networks. This phenomenon involves synchronized nodes without direct links, driven by amplitude modulation in intermediary nodes.

More Related Videos

Microstate and Omega Complexity Analyses of the Resting-state Electroencephalography
06:40

Microstate and Omega Complexity Analyses of the Resting-state Electroencephalography

Published on: June 15, 2018

9.5K
Statistical Modelling of Cortical Connectivity Using Non-invasive Electroencephalograms
08:51

Statistical Modelling of Cortical Connectivity Using Non-invasive Electroencephalograms

Published on: November 1, 2019

5.0K

Related Experiment Videos

Last Updated: May 4, 2026

Network Analysis of Foramen Ovale Electrode Recordings in Drug-resistant Temporal Lobe Epilepsy Patients
09:32

Network Analysis of Foramen Ovale Electrode Recordings in Drug-resistant Temporal Lobe Epilepsy Patients

Published on: December 18, 2016

13.7K
Microstate and Omega Complexity Analyses of the Resting-state Electroencephalography
06:40

Microstate and Omega Complexity Analyses of the Resting-state Electroencephalography

Published on: June 15, 2018

9.5K
Statistical Modelling of Cortical Connectivity Using Non-invasive Electroencephalograms
08:51

Statistical Modelling of Cortical Connectivity Using Non-invasive Electroencephalograms

Published on: November 1, 2019

5.0K

Area of Science:

  • Complex systems
  • Network dynamics
  • Nonlinear dynamics

Background:

  • Remote synchronization was recently observed in star networks.
  • This phenomenon involves peripheral nodes forming a synchronized cluster excluding the hub.

Purpose of the Study:

  • To demonstrate the existence of remote synchronization in arbitrary networks.
  • To characterize this dynamical state in complex systems.

Main Methods:

  • Analysis of coupled oscillator networks.
  • Investigation of synchronization patterns in arbitrary network topologies.

Main Results:

  • Remote synchronization is shown to exist in general networks, not just star motifs.
  • This state is characterized by synchronization between non-adjacent, non-sequentially synchronized nodes.
  • The underlying mechanism involves amplitude modulation of intermediary nodes, making it less prominent in phase-only oscillator networks.

Conclusions:

  • Remote synchronization is a ubiquitous and robust phenomenon in complex networks.
  • These findings generalize the concept from simple star graphs to arbitrary network structures.