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

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...

Network Function of a Circuit

Network Function of a Circuit

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.

Sequence Networks of Rotating Machines

Sequence Networks of Rotating Machines

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...

Stability of structures

Stability of structures

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,...

Overview of Synapses

Overview of Synapses

A synapse is a specialized structure where two neurons connect, allowing them to pass an electrical or chemical signal to another neuron. It is the point of communication between neurons. The term "synapse" is derived from the Greek word "synapsis," which means "conjunction." The entire process of neural communication revolves around the synapse. When activated, a neuron releases chemicals known as neurotransmitters into the synapse. These neurotransmitters cross the synapse and bind to...

Valence Bond Theory

Valence Bond Theory

Coordination compounds and complexes exhibit different colors, geometries, and magnetic behavior, depending on the metal atom/ion and ligands from which they are composed. In an attempt to explain the bonding and structure of coordination complexes, Linus Pauling proposed the valence bond theory, or VBT, using the concepts of hybridization and the overlapping of the atomic orbitals. According to VBT, the central metal atom or ion (Lewis acid) hybridizes to provide empty orbitals of suitable...

You might also read

Related Articles

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

Sort by

Same author

Formation of an endometrial epithelial monolayer in a microfluidic device with human tissue-derived endometrial organoids.

Lab on a chip·2026

Same author

Roughening of information landscape with asymmetric social contagion process on complex networks.

Physical review. E·2025

Same author

Optimal Inhibitory-to-Excitatory Ratio Governs Slow and Fast Oscillations for Enhanced Neural Communication.

The Journal of neuroscience : the official journal of the Society for Neuroscience·2025

Same author

Information diversity and anomalous scaling in asymmetric social contagion process on low-dimensional static networks.

Physical review. E·2023

Same author

Effect and safety of diluted vasopressin injection on bleeding during robot-assisted laparoscopic myomectomy: a protocol for a randomised controlled pilot trial.

BMJ open·2022

Same author

Effects of sarcopenia and sarcopenic obesity on joint pain and degenerative osteoarthritis in postmenopausal women.

Scientific reports·2022

Search research articles

Related Experiment Video

Updated: Jun 14, 2026

Alignment of Synchronized Time-Series Data Using the Characterizing Loss of Cell Cycle Synchrony Model for Cross-Experiment Comparisons

Alignment of Synchronized Time-Series Data Using the Characterizing Loss of Cell Cycle Synchrony Model for Cross-Experiment Comparisons

Published on: June 9, 2023

Structural properties of the synchronized cluster on complex networks.

Yup Kim¹, Yongjin Ko, Soon-Hyung Yook

¹Department of Physics and Research Institute for Basic Sciences, Kyung Hee University, Seoul 130-701, Korea. ykim@khu.ac.kr

Physical Review. E, Statistical, Nonlinear, and Soft Matter Physics

|April 7, 2010

Summary

The largest synchronized connected component (LSCC) forms by merging smaller clusters on complex networks. This study confirms mean-field percolation theory for LSCC formation on Erdős-Rényi and Barabási-Albert networks.

More Related Videos

Microstate and Omega Complexity Analyses of the Resting-state Electroencephalography

Microstate and Omega Complexity Analyses of the Resting-state Electroencephalography

Published on: June 15, 2018

Related Experiment Videos

Last Updated: Jun 14, 2026

Alignment of Synchronized Time-Series Data Using the Characterizing Loss of Cell Cycle Synchrony Model for Cross-Experiment Comparisons

Alignment of Synchronized Time-Series Data Using the Characterizing Loss of Cell Cycle Synchrony Model for Cross-Experiment Comparisons

Published on: June 9, 2023

Microstate and Omega Complexity Analyses of the Resting-state Electroencephalography

Microstate and Omega Complexity Analyses of the Resting-state Electroencephalography

Published on: June 15, 2018

Area of Science:

Complex network dynamics
Synchronization phenomena
Statistical physics

Background:

Understanding global synchronization in complex networks is crucial for various systems.
The Kuramoto model is a standard framework for studying synchronization.
The formation and evolution of the largest synchronized connected component (LSCC) remain key research questions.

Purpose of the Study:

To investigate the formation and evolution mechanisms of the LSCC in complex networks.
To analyze LSCC dynamics using the Kuramoto model on Erdős-Rényi and Barabási-Albert networks.
To compare findings with established theories like mean-field percolation.

Main Methods:

Finite-size scaling analysis applied to network synchronization.
Examination of percolation order parameter and mean cluster size.
Analysis of cluster size distributions and merging dynamics.

Main Results:

Scaling exponents for percolation order parameter and mean cluster size match mean-field percolation theory (β=γ=1).
Finite-size scaling exponent (ν) also aligns with mean-field percolation results (ν=3).
Cluster size distributions on both network types are identical to the mean-field percolation distribution.

Conclusions:

The LSCC on Erdős-Rényi and Barabási-Albert networks evolves through the merging of various-sized clusters.
Findings support the applicability of mean-field percolation theory to synchronization phenomena on these complex networks.
The study provides direct evidence for cluster merging as the primary mechanism for LSCC formation and global synchronization.