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

Levels of Organization01:09

Levels of Organization

124.2K
Biological organization is the classification of biological structures, ranging from atoms at the bottom of the hierarchy to the Earth's biosphere. Each level of the hierarchy represents an increase in complexity that builds upon the previous level.
Molecules Are Composed of Atoms, and Biomolecules Are Assembled from Molecules:
The most basic levels include atoms, molecules, and biomolecules. Atoms, the smallest unit of ordinary matter, are composed of a nucleus and electrons. Molecules...
124.2K
Neuron Structure01:31

Neuron Structure

223.4K
Overview
223.4K
Hierarchy of Motor Control01:18

Hierarchy of Motor Control

2.8K
The hierarchy of motor control refers to the different levels of organization and processing involved in controlling movement in the body. These levels range from higher cortical areas involved in planning and decision-making to lower spinal cord reflexes that respond automatically to external stimuli.
2.8K
Sequence Networks of Rotating Machines01:24

Sequence Networks of Rotating Machines

123
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...
123
Organization of the Nervous System01:13

Organization of the Nervous System

6.0K
The nervous system is one of the most complex systems in our body. It is organized into two main divisions: the central nervous system (CNS) and the peripheral nervous system (PNS).
The CNS, comprising the brain and spinal cord, houses billions of neurons. The brain is housed in the skull, while the spinal cord is linked to the brain through the foramen magnum of the occipital bone and is surrounded by the protective structure of the vertebral column. It is responsible for processing various...
6.0K
Network Function of a Circuit01:25

Network Function of a Circuit

317
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.
317

You might also read

Related Articles

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

Sort by
Same author

Drug-disease networks and drug repurposing.

PLoS computational biology·2025
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

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: Low-dimensional model for adaptive networks of spiking neurons [Phys. Rev. E 111, 014422 (2025)].

Physical review. E·2026
Same journal

Disentangling the effects of many-body forces on depletion interactions.

Physical review. E·2026
Same journal

Charge transport and mode transition in dual-energy electron beam diodes.

Physical review. E·2026
Same journal

Optimization of multisite reactions in complex compartmentalized media.

Physical review. E·2026
Same journal

Origin of geometric cohesion in nonconvex granular materials: Interplay between interdigitation and rotational constraints enhancing frictional stability.

Physical review. E·2026
Same journal

Interaction of walkers with a standing Faraday wave.

Physical review. E·2026
See all related articles

Related Experiment Video

Updated: Jul 16, 2025

Modeling the Functional Network for Spatial Navigation in the Human Brain
05:55

Modeling the Functional Network for Spatial Navigation in the Human Brain

Published on: October 13, 2023

1.1K

Hierarchical core-periphery structure in networks.

Austin Polanco1, M E J Newman1,2

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

Physical Review. E
|September 19, 2023
PubMed
Summary
This summary is machine-generated.

This study introduces a flexible network model to analyze core-periphery structures, revealing distinct network types and hybrid community structures. Efficient methods are provided for network analysis.

More Related Videos

Divergence of Root Microbiota in Different Habitats based on Weighted Correlation Networks
09:49

Divergence of Root Microbiota in Different Habitats based on Weighted Correlation Networks

Published on: September 25, 2021

4.4K
A Method for Investigating Age-related Differences in the Functional Connectivity of Cognitive Control Networks Associated with Dimensional Change Card Sort Performance
09:01

A Method for Investigating Age-related Differences in the Functional Connectivity of Cognitive Control Networks Associated with Dimensional Change Card Sort Performance

Published on: May 7, 2014

10.2K

Related Experiment Videos

Last Updated: Jul 16, 2025

Modeling the Functional Network for Spatial Navigation in the Human Brain
05:55

Modeling the Functional Network for Spatial Navigation in the Human Brain

Published on: October 13, 2023

1.1K
Divergence of Root Microbiota in Different Habitats based on Weighted Correlation Networks
09:49

Divergence of Root Microbiota in Different Habitats based on Weighted Correlation Networks

Published on: September 25, 2021

4.4K
A Method for Investigating Age-related Differences in the Functional Connectivity of Cognitive Control Networks Associated with Dimensional Change Card Sort Performance
09:01

A Method for Investigating Age-related Differences in the Functional Connectivity of Cognitive Control Networks Associated with Dimensional Change Card Sort Performance

Published on: May 7, 2014

10.2K

Area of Science:

  • Network Science
  • Computational Social Science

Background:

  • Core-periphery structure is a fundamental concept in network analysis.
  • Existing models often struggle to capture the diversity of network architectures.
  • Understanding these structures is crucial for various fields, including sociology and computer science.

Purpose of the Study:

  • To develop and apply a flexible network model for inferring core-periphery structures.
  • To identify and differentiate between various types of core-periphery organizations in real-world networks.
  • To explore hybrid structures combining core-periphery and community features.

Main Methods:

  • Development of a flexible network model accommodating nested, hierarchical, and non-nested structures.
  • Implementation of an efficient Monte Carlo scheme for model fitting to empirical data.
  • Analysis of diverse real-world network datasets.

Main Results:

  • Empirical distinction observed between traditional core-periphery (dense core, sparse periphery) and alternative structures (strongly connected core).
  • Networks exhibit varying degrees of fit to these distinct structural types.
  • Identification of hybrid structures merging core-periphery and community features, with non-overlapping cores resembling communities.

Conclusions:

  • The proposed flexible network model effectively captures diverse core-periphery structures.
  • Real-world networks display a spectrum of core-periphery organizations, including novel hybrid forms.
  • The study provides computational tools for network structure analysis.