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 Experiment Videos

Synchronization in adaptive weighted networks.

Debin Huang1

  • 1Department of Mathematics, Shanghai University, Shanghai 200444, People's Republic of China. dbhuang@staff.shu.edu.cn

Physical Review. E, Statistical, Nonlinear, and Soft Matter Physics
|December 13, 2006
PubMed
Summary
This summary is machine-generated.

Related Concept Videos

You might also read

Related Articles

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

Sort by
Same author

Factors Influencing ICU Nurses' Proficiency in Point-of-Care Gastrointestinal Ultrasound: A National Cross-Sectional Study.

Journal of nursing management·2026
Same author

The association between active cigarette smoking and acute gastrointestinal morbidity in US adults: A NHANES-based cross-sectional analysis.

Medicine·2026
Same author

Comparison of the predictive value of NUTRIC and modified NUTRIC scores for ICU mortality in patients with sepsis: a single-center prospective cohort study.

Scientific reports·2026
Same author

[Predictive value of the modified Nutrition Risk in Critically Ill Score for intensive care unit mortality risk in septic patients].

Zhonghua wei zhong bing ji jiu yi xue·2026
Same author

Metagenomics reveals pathogenic diversity and temporal dynamics in severe pneumonia among patients in adult intensive care unit.

BMC infectious diseases·2026
Same author

Efficacy and safety of cAMP signalling-biased GLP-1 analogue ecnoglutide monotherapy versus placebo in patients with type 2 diabetes (EECOH-1): a multi-centre, randomised, double-blind, placebo-controlled, phase 3 trial.

Nature communications·2026
Same journal

Tension on dsDNA bound to ssDNA-RecA filaments may play an important role in driving efficient and accurate homology recognition and strand exchange.

Physical review. E, Statistical, nonlinear, and soft matter physics·2016
Same journal

Publisher's Note: Amplitude-phase coupling drives chimera states in globally coupled laser networks [Phys. Rev. E 91, 040901(R) (2015)].

Physical review. E, Statistical, nonlinear, and soft matter physics·2016
Same journal

Erratum: Shapes of sedimenting soft elastic capsules in a viscous fluid [Phys. Rev. E 92, 033003 (2015)].

Physical review. E, Statistical, nonlinear, and soft matter physics·2016
Same journal

Erratum: Attenuation of excitation decay rate due to collective effect [Phys. Rev. E 90, 022142 (2014)].

Physical review. E, Statistical, nonlinear, and soft matter physics·2016
Same journal

Publisher's Note: Role of connectivity and fluctuations in the nucleation of calcium waves in cardiac cells [Phys. Rev. E 92, 052715 (2015)].

Physical review. E, Statistical, nonlinear, and soft matter physics·2016
Same journal

Publisher's Note: Lattice Boltzmann approach for complex nonequilibrium flows [Phys. Rev. E 92, 043308 (2015)].

Physical review. E, Statistical, nonlinear, and soft matter physics·2016
See all related articles

This study introduces an adaptive weighted network to achieve global synchronization in coupled oscillator networks. This novel approach enhances network synchronizability and aids in analyzing network structure effects.

Area of Science:

  • Complex systems
  • Network science
  • Nonlinear dynamics

Background:

  • Coupled oscillator networks are fundamental in various scientific domains.
  • Understanding and controlling collective synchronization is a key challenge.
  • Existing methods often rely on linear stability analysis of unweighted networks.

Purpose of the Study:

  • To investigate global synchronization in coupled oscillator networks.
  • To propose and evaluate a novel adaptive weighted network scheme.
  • To improve the analysis of network structure's impact on synchronizability.

Main Methods:

  • Development of an adaptive weighted network model.
  • Simulation and analysis of oscillator network dynamics.
  • Comparison with linear stability analysis of unweighted networks.

Related Experiment Videos

Main Results:

  • The proposed adaptive weighted network effectively promotes collective synchronization.
  • The scheme demonstrates improved synchronizability compared to unweighted networks.
  • The method provides a beneficial framework for analyzing network structure effects.

Conclusions:

  • Adaptive weighted networks offer a simple yet powerful method for achieving global synchronization.
  • This approach enhances the understanding of network dynamics and synchronizability.
  • The findings are applicable to diverse fields utilizing coupled oscillator systems.