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

Assortative mixing in networks.

M E J Newman1

  • 1Department of Physics, University of Michigan, Ann Arbor, MI 48109-1120, USA.

Physical Review Letters
|November 22, 2002
PubMed
Summary
This summary is machine-generated.

Social networks connect similar nodes (assortative mixing), while technological and biological networks connect dissimilar nodes (disassortative mixing). Assortative networks are more robust and easier to percolate.

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

Mutual information and the encoding of contingency tables.

Physical review. E·2025
Same author

Luck, skill, and depth of competition in games and social hierarchies.

Science advances·2024
Same author

Hierarchical core-periphery structure in networks.

Physical review. E·2023
Same author

Clustering of heterogeneous populations of networks.

Physical review. E·2022
Same author

Reconstruction of plant-pollinator networks from observational data.

Nature communications·2021
Same author

Belief propagation for networks with loops.

Science advances·2021
Same journal

Erratum: Bacterial Turbulence at Compressible Fluid Interfaces [Phys. Rev. Lett. 136, 138301 (2026)].

Physical review letters·2026
Same journal

Unveiling Light-Quark Yukawa Flavor Structure via Dihadron Fragmentation at Lepton Colliders.

Physical review letters·2026
Same journal

Adaptable Route to Fast Coherent State Transport via Bang-Bang-Bang Protocols.

Physical review letters·2026
Same journal

Topological Transition and Emergence of Elasticity of Dislocation in Skyrmion Lattice: Beyond Kittel's Magnetic-Polar Analogy.

Physical review letters·2026
Same journal

Pound-Drever-Hall Method for Superconducting-Qubit Readout.

Physical review letters·2026
Same journal

Coupling a ^{73}Ge Nuclear Spin to an Electrostatically Defined Quantum Dot in Silicon.

Physical review letters·2026
See all related articles

Area of Science:

  • Network science
  • Complex systems analysis

Background:

  • Assortative mixing describes how nodes with high degrees connect to other high-degree nodes.
  • Understanding network mixing patterns is crucial for analyzing network structure and function.

Purpose of the Study:

  • To investigate assortative and disassortative mixing patterns across diverse network types.
  • To propose and analyze a model for assortative networks.
  • To assess the impact of assortativity on network percolation and robustness.

Main Methods:

  • Empirical analysis of mixing patterns in various real-world networks.
  • Development and theoretical analysis of an assortative network model.
  • Numerical simulations to study percolation and robustness.

Related Experiment Videos

Main Results:

  • Social networks predominantly exhibit assortative mixing.
  • Technological and biological networks tend to be disassortative.
  • Assortative networks demonstrate enhanced percolation and greater robustness against node removal.

Conclusions:

  • Network mixing patterns vary significantly across different domains.
  • Assortativity plays a key role in enhancing network resilience and facilitating information flow.