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

Weighted Mean00:57

Weighted Mean

7.3K
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...
7.3K
Protein Networks02:26

Protein Networks

4.7K
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,...
4.7K
Protein Networks02:26

Protein Networks

2.9K
2.9K
Network Covalent Solids02:18

Network Covalent Solids

16.5K
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...
16.5K
Wilcoxon Signed-Ranks Test for Matched Pairs01:09

Wilcoxon Signed-Ranks Test for Matched Pairs

583
The Wilcoxon signed-rank test for matched pairs evaluates the null hypothesis by combining the ranks of differences with their signs. It essentially tests whether the median of the differences in a population of matched pairs is zero. Since the test incorporates more information than the sign test, it generally yields more trustable conclusions. This test also does not require the data to follow a normal distribution, but two conditions must be met for it to be applicable: (1) the data must...
583
Graphical Representation of Inequalities01:28

Graphical Representation of Inequalities

370
The graph of the equation where y equals x squared forms a curve known as a parabola. This curve acts as a boundary in the coordinate plane, dividing it into distinct regions based on the relative position of points.When the equality sign in the equation is replaced with an inequality—such as greater than, less than, greater than or equal to, or less than or equal to—the graphical representation changes from a single curve into a broader shaded area that signifies the set of all...
370

You might also read

Related Articles

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

Sort by
Same author

Personalized feedback about immunity corrects risk misestimation and motivates vaccination.

PNAS nexus·2026
Same author

Coexistence of Photosynthetic Marine Microorganisms, Viruses and Grazers: Towards Integration in Ocean Ecosystem Models.

Environmental microbiology·2026
Same author

Density-dependent feedback and higher-order interactions enable coexistence in phage-bacteria community dynamics.

The ISME journal·2026
Same author

Interpreting Breakthrough Infections Given Assortative Mixing of Partially Vaccinated Populations.

medRxiv : the preprint server for health sciences·2026
Same author

Eco-evolutionary dynamics of temperate phages in periodic environments.

Virus evolution·2025
Same author

Disentangling top-down drivers of mortality underlying diel population dynamics of Prochlorococcus in the North Pacific Subtropical Gyre.

Nature communications·2024

Related Experiment Video

Updated: Mar 25, 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

Improved community detection in weighted bipartite networks.

Stephen J Beckett1

  • 1Biosciences, College of Life and Environmental Sciences , University of Exeter , Exeter EX4 4QE, UK.

Royal Society Open Science
|February 25, 2016
PubMed
Summary

New algorithms, LPAwb+ and DIRTLPAwb+, effectively identify communities in complex quantitative networks by maximizing weighted modularity. DIRTLPAwb+ matches existing methods, while LPAwb+ offers superior speed for large-scale network analysis.

Keywords:
bipartite networksmodular structuremodulesnetwork ecology

More Related Videos

Soft Pneumatic Robot Modulates Graph Theory Metrics of Brain Network for Hand Rehabilitation After Stroke
05:30

Soft Pneumatic Robot Modulates Graph Theory Metrics of Brain Network for Hand Rehabilitation After Stroke

Published on: October 10, 2025

600
Electroencephalography Network Indices as Biomarkers of Upper Limb Impairment in Chronic Stroke
06:37

Electroencephalography Network Indices as Biomarkers of Upper Limb Impairment in Chronic Stroke

Published on: July 14, 2023

1.4K

Related Experiment Videos

Last Updated: Mar 25, 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
Soft Pneumatic Robot Modulates Graph Theory Metrics of Brain Network for Hand Rehabilitation After Stroke
05:30

Soft Pneumatic Robot Modulates Graph Theory Metrics of Brain Network for Hand Rehabilitation After Stroke

Published on: October 10, 2025

600
Electroencephalography Network Indices as Biomarkers of Upper Limb Impairment in Chronic Stroke
06:37

Electroencephalography Network Indices as Biomarkers of Upper Limb Impairment in Chronic Stroke

Published on: July 14, 2023

1.4K

Area of Science:

  • Network Science
  • Computational Biology
  • Data Mining

Background:

  • Real-world complex networks feature non-random, quantitative interactions.
  • Community detection is crucial across disciplines, but many algorithms ignore interaction weights.
  • Weighted modularity offers a framework for evaluating community structures in quantitative networks.

Purpose of the Study:

  • To introduce novel algorithms for maximizing weighted modularity in bipartite networks.
  • To compare the performance of new algorithms against existing methods like QuanBiMo.
  • To enhance the identification of high-quality community partitions in complex networks.

Main Methods:

  • Development of two new algorithms: LPAwb+ and DIRTLPAwb+.
  • Maximization of weighted modularity in bipartite networks.
  • Comparative analysis of algorithm performance and speed.

Main Results:

  • LPAwb+ and DIRTLPAwb+ robustly identify partitions with high modularity scores.
  • DIRTLPAwb+ demonstrated performance matching or exceeding QuanBiMo.
  • LPAwb+ provides a computationally efficient alternative for large networks.

Conclusions:

  • Weighted data analysis offers insightful network partition evaluation.
  • LPAwb+ and DIRTLPAwb+ are effective tools for community detection in quantitative networks.
  • The developed algorithms advance the analysis of complex network structures.