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

The Nucleosome Core Particle02:10

The Nucleosome Core Particle

14.5K
Nucleosomes are the DNA-histone complex, where the DNA strand is wound around the histone core. The histone core is an octamer containing two copies of H2A, H2B, H3, and H4 histone proteins.
The paradox
Nucleosomes, paradoxically, perform two opposite functions simultaneously. On the one hand, their main responsibility is to protect the delicate DNA strands from physical damage and help achieve a higher compaction ratio. While on the other hand, they must allow polymerase enzymes to access DNA...
14.5K
Weighted Mean00:57

Weighted Mean

6.4K
While taking the arithmetic, geometric, or harmonic mean of a sample data set, equal importance is assigned to all the data points. However, all the values may not always be equally important in some data sets. An intrinsic bias might make it more important to give more weightage to specific values over others.
For example, consider the number of goals scored in the matches of a tournament. While computing the average number of goals scored in the tournament, it may be more important to...
6.4K
Protein Networks02:26

Protein Networks

4.6K
An organism can have thousands of different proteins, and these proteins must cooperate to ensure the health of an organism. Proteins bind to other proteins and form complexes to carry out their functions. Many proteins interact with multiple other proteins creating a complex network of protein interactions.
These interactions can be represented through maps depicting protein-protein interaction networks, represented as nodes and edges. Nodes are circles that are representative of a protein,...
4.6K
Network Covalent Solids02:18

Network Covalent Solids

16.2K
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...
16.2K
Atomic Weight01:25

Atomic Weight

13.5K
Protons and neutrons have approximately the same mass, about 1.67 × 10-24 grams. Scientists arbitrarily define this amount of mass as one atomic mass unit (amu) or one Dalton. Electrons are much smaller in mass than protons, weighing only 9.11 × 10-28 grams, or about 1/1800 of an atomic mass unit. As a result, they do not contribute much to an element's overall atomic mass. This means that, when considering atomic mass, it is customary to ignore the mass of any electrons and...
13.5K
Mass and Weight01:19

Mass and Weight

15.3K
Mass and weight are often used interchangeably in everyday conversation. For example,  medical records often show our weight in kilograms, but never in the correct units of newtons. In physics, however, there is an important distinction. Weight is the pull of the Earth on an object. It depends on the distance from the center of the Earth. Weight dramatically varies if we leave the Earth's surface, unlike mass, which does not vary with location. On the Moon, for example, the...
15.3K

You might also read

Related Articles

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

Sort by
Same author

Coordination of network heterogeneity and individual preferences promotes collective fairness.

Patterns (New York, N.Y.)·2025
Same author

A general urban spreading pattern of COVID-19 and its underlying mechanism.

npj urban sustainability·2023
Same author

Opinion dynamics in financial markets via random networks.

Proceedings of the National Academy of Sciences of the United States of America·2022
Same author

CHDbase: A Comprehensive Knowledgebase for Congenital Heart Disease-related Genes and Clinical Manifestations.

Genomics, proteomics & bioinformatics·2022
Same author

Most influential countries in the international medical device trade: Network-based analysis.

Physica A·2022
Same author

A New Look at Calendar Anomalies: Multifractality and Day-of-the-Week Effect.

Entropy (Basel, Switzerland)·2022

Related Experiment Video

Updated: Feb 4, 2026

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

4.9K

Extracting h-Backbone as a Core Structure in Weighted Networks.

Ronda J Zhang1,2, H Eugene Stanley3, Fred Y Ye4,5

  • 1Jiangsu Key Laboratory of Data Engineering and Knowledge Service, School of Information Management, Nanjing University, Nanjing, 210023, China.

Scientific Reports
|September 27, 2018
PubMed
Summary

Simplifying complex networks is possible by identifying the h-backbone core structure. This method reduces network complexity by focusing on essential connections, making analysis more efficient.

More Related Videos

Investigation of Plant Interactions Across Common Mycorrhizal Networks Using Rotated Cores
09:17

Investigation of Plant Interactions Across Common Mycorrhizal Networks Using Rotated Cores

Published on: March 26, 2019

13.3K
Core/shell Printing Scaffolds For Tissue Engineering Of Tubular Structures
05:52

Core/shell Printing Scaffolds For Tissue Engineering Of Tubular Structures

Published on: September 27, 2019

9.9K

Related Experiment Videos

Last Updated: Feb 4, 2026

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

4.9K
Investigation of Plant Interactions Across Common Mycorrhizal Networks Using Rotated Cores
09:17

Investigation of Plant Interactions Across Common Mycorrhizal Networks Using Rotated Cores

Published on: March 26, 2019

13.3K
Core/shell Printing Scaffolds For Tissue Engineering Of Tubular Structures
05:52

Core/shell Printing Scaffolds For Tissue Engineering Of Tubular Structures

Published on: September 27, 2019

9.9K

Area of Science:

  • Network Science
  • Systems Analysis
  • Information Science

Background:

  • Complex network systems present challenges in analysis due to their intricate structures.
  • Simplification of networks is crucial for efficient study and understanding.

Purpose of the Study:

  • To introduce and define the h-backbone core structure for network simplification.
  • To demonstrate the effectiveness of the h-backbone in reducing network complexity.

Main Methods:

  • Utilizing h-bridge and h-strength measurements within weighted networks.
  • Extracting the h-backbone core structure from complex networks.

Main Results:

  • The h-backbone core structure significantly simplifies network analysis.
  • Networks focused on the h-backbone exhibit fewer edges and adjacent nodes.

Conclusions:

  • The h-backbone provides an effective method for simplifying complex network systems.
  • This approach is applicable across diverse fields, including information systems, social networks, and scientific collaboration networks.