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

Classes of small-world networks.

L A Amaral1, A Scala, M Barthelemy

  • 1Center for Polymer Studies and Department of Physics, Boston University, Boston, MA 02215, USA. amaral@buphy.bu.edu

Proceedings of the National Academy of Sciences of the United States of America
|September 27, 2000
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

The microbiome in head and neck squamous cell carcinoma: Biological drivers, therapeutic interactions, and emerging clinical applications.

Critical reviews in oncology/hematology·2026
Same author

Network analysis of NRG1 variants of uncertain significance (VUSes) in advanced non-small-cell lung cancer and their prognostic role in EGFR-mutant patients treated with first-line osimertinib.

ESMO open·2025
Same author

Treatment and management of coenurosis by Taenia multiceps: field data from outbreaks in endemic regions and literature review.

Parasites & vectors·2024
Same author

Getting old in the desired gender: a systematic review on aging diseases in transgender people.

Journal of endocrinological investigation·2024
Same author

The role of complexity for digital twins of cities.

Nature computational science·2024
Same author

Bone health and body composition in transgender adults before gender-affirming hormonal therapy: data from the COMET study.

Journal of endocrinological investigation·2023

This study identifies three network types: scale-free, broad-scale, and single-scale, based on connectivity patterns. Link addition constraints influence the emergence of these diverse network structures.

Area of Science:

  • Network Science
  • Statistical Physics
  • Complex Systems

Background:

  • Real-world networks exhibit diverse statistical properties.
  • Understanding network structure is crucial for various scientific domains.
  • Previous research has identified different network classes, but a unified classification based on connectivity distributions and constraints is lacking.

Purpose of the Study:

  • To statistically analyze diverse real-world networks.
  • To identify and characterize distinct classes of small-world networks.
  • To investigate the role of link addition constraints in network formation.

Main Methods:

  • Statistical analysis of network properties.
  • Characterization of vertex connectivity distributions.

Related Experiment Videos

  • Identification of power-law regimes and cutoffs in distributions.
  • Examination of constraints on link addition.

    • Main Results:

    • Identified three classes of small-world networks: scale-free, broad-scale, and single-scale.
    • Scale-free networks show power-law decay in connectivity.
    • Broad-scale networks exhibit a power-law followed by a cutoff.
    • Single-scale networks have a fast-decaying tail in connectivity.
    • Broad-scale and single-scale networks are subject to link addition constraints.

    Conclusions:

    • Network classification can be based on connectivity distribution characteristics.
    • Link addition constraints are pivotal in determining network class.
    • The findings provide insights into the formation and evolution of complex networks.