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

Graphical Representation of Inequalities01:28

Graphical Representation of Inequalities

70
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...
70
pV-Diagrams01:18

pV-Diagrams

5.1K
The pV diagram, which is a graph of pressure versus volume of the gas under study, is helpful in describing certain aspects of the substance. When the substance behaves like an ideal gas, the ideal gas equation describes the relationship between its pressure and volume. On a pV diagram, it is common to plot an isotherm, which is a curve showing p as a function of V with the number of molecules and the temperature fixed. Then, for an ideal gas, the product of the pressure of the gas and its...
5.1K
Vector Algebra: Graphical Method01:10

Vector Algebra: Graphical Method

16.3K
Vectors can be multiplied by scalars, added to other vectors, or subtracted from other vectors. The vector sum of two (or more) vectors is called the resultant vector or, for short, the resultant.
We use the laws of geometry to construct resultant vectors, followed by trigonometry to find vector magnitudes and directions. For a geometric construction of the sum of two vectors in a plane, we follow the parallelogram rule. Suppose two vectors are at arbitrary positions. Translate either one of...
16.3K
Divergence and Stokes' Theorems01:06

Divergence and Stokes' Theorems

3.1K
The divergence and Stokes' theorems are a variation of Green's theorem in a higher dimension. They are also a generalization of the fundamental theorem of calculus. The divergence theorem and Stokes' theorem are in a way similar to each other; The divergence theorem relates to the dot product of a vector, while Stokes' theorem relates to the curl of a vector. Many applications in physics and engineering make use of the divergence and Stokes' theorems, enabling us to write...
3.1K
Manipulation and Analysis01:21

Manipulation and Analysis

183
GIS manipulation and analysis functions are vital for decision-making and planning. These activities range from data retrieval tasks, such as selecting information based on specific criteria, to advanced analytical techniques that address complex spatial problems.One critical GIS analysis method is overlaying, which combines multiple data layers to examine impacts. For example, overlaying a river-dammed lake boundary with road networks can identify affected infrastructure. Another common...
183
Sieve Analysis and Grading Curves01:19

Sieve Analysis and Grading Curves

746
Sieve analysis is a method used to determine the particle size distribution of aggregate materials. This process involves the following steps:
746

You might also read

Related Articles

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

Sort by
Same author

[Epigenetic regulator DOT1L controls neuronal amyloid pre-cursor protein expression via the p38 mediated mitochondrial fission-fusion homeostasis axis].

Zhejiang da xue xue bao. Yi xue ban = Journal of Zhejiang University. Medical sciences·2026
Same author

Surface-Guided Radiation Therapy (SGRT) for Pediatric Oncology: An Analysis of Inter- and Intra-fraction Motion Variability and PTV Margins.

Technology in cancer research & treatment·2026
Same author

Azolla reshapes rhizosphere microbiomes and nutrient cycling in paddy fields.

Environmental microbiome·2026
Same author

MAN++: Scaling Momentum Auxiliary Network for Supervised Local Learning in Vision Tasks.

IEEE transactions on pattern analysis and machine intelligence·2026
Same author

Study on the Mechanism of Arsenic(V) Removal from Water Using Fe<sub>3</sub>O<sub>4</sub>-Sepiolite Composite Fibers.

Langmuir : the ACS journal of surfaces and colloids·2026
Same author

MEPDB: Database of microExons in plants.

The New phytologist·2025
Same journal

Research on a Regional Availability Evaluation Model for Road-Area High-Entropy Energy Based on Synergy Factors.

Entropy (Basel, Switzerland)·2026
Same journal

Atmospheric Turbulence Channel Modeling and Performance Analysis of a CO-ZP-OFDM Coherent Optical Communication System for UAV Air-to-Ground Scenarios.

Entropy (Basel, Switzerland)·2026
Same journal

Information Geometry and Asymptotic Theory for SMML Estimators.

Entropy (Basel, Switzerland)·2026
Same journal

Correlation Entropy and Power-Law Kinetics.

Entropy (Basel, Switzerland)·2026
Same journal

Research on the Contagion of Systemic Financial Risk Under the Impact of Climate Risks-From the Perspective of Complex Networks and Machine Learning.

Entropy (Basel, Switzerland)·2026
Same journal

The Statistical-Mechanical Meaning of the Wave Function of Quantum Mechanics.

Entropy (Basel, Switzerland)·2026
See all related articles

Related Experiment Video

Updated: Nov 27, 2025

Inherent Dynamics Visualizer, an Interactive Application for Evaluating and Visualizing Outputs from a Gene Regulatory Network Inference Pipeline
10:44

Inherent Dynamics Visualizer, an Interactive Application for Evaluating and Visualizing Outputs from a Gene Regulatory Network Inference Pipeline

Published on: December 7, 2021

2.5K

An Information-Theoretic Framework for Evaluating Edge Bundling Visualization.

Jieting Wu1, Feiyu Zhu1, Xin Liu1

  • 1Department of Computer Science & Engineering, University of Nebraska-Lincoln, 1400 R St, Lincoln, NE 68588, USA.

Entropy (Basel, Switzerland)
|December 3, 2020
PubMed
Summary
This summary is machine-generated.

This study introduces an information-theoretic framework to evaluate graph edge bundling visualizations. It quantifies visualization information, enabling objective comparisons between different edge bundling methods.

Keywords:
edge bundlinggraph visualizationinformation theoryinformation visualizationminimum description length

More Related Videos

Optimization of Synthetic Proteins: Identification of Interpositional Dependencies Indicating Structurally and/or Functionally Linked Residues
07:08

Optimization of Synthetic Proteins: Identification of Interpositional Dependencies Indicating Structurally and/or Functionally Linked Residues

Published on: July 14, 2015

7.5K
Quantifying Fibrillar Collagen Organization with Curvelet Transform-Based Tools
07:58

Quantifying Fibrillar Collagen Organization with Curvelet Transform-Based Tools

Published on: November 11, 2020

6.5K

Related Experiment Videos

Last Updated: Nov 27, 2025

Inherent Dynamics Visualizer, an Interactive Application for Evaluating and Visualizing Outputs from a Gene Regulatory Network Inference Pipeline
10:44

Inherent Dynamics Visualizer, an Interactive Application for Evaluating and Visualizing Outputs from a Gene Regulatory Network Inference Pipeline

Published on: December 7, 2021

2.5K
Optimization of Synthetic Proteins: Identification of Interpositional Dependencies Indicating Structurally and/or Functionally Linked Residues
07:08

Optimization of Synthetic Proteins: Identification of Interpositional Dependencies Indicating Structurally and/or Functionally Linked Residues

Published on: July 14, 2015

7.5K
Quantifying Fibrillar Collagen Organization with Curvelet Transform-Based Tools
07:58

Quantifying Fibrillar Collagen Organization with Curvelet Transform-Based Tools

Published on: November 11, 2020

6.5K

Area of Science:

  • Computer Science
  • Information Theory
  • Data Visualization

Background:

  • Edge bundling simplifies complex graph visualizations but lacks objective evaluation methods.
  • Existing techniques for graph drawing and edge bundling offer diverse layouts but no clear theoretical comparison framework.
  • Evaluating the visual clarity and information fidelity of edge bundling methods remains a challenge in graph visualization.

Purpose of the Study:

  • To propose a novel information-theoretic framework for evaluating edge bundling visualizations.
  • To quantify the information conveyed by edge bundling techniques from raw network data.
  • To establish a method for objectively comparing different edge bundling algorithms based on their visual output.

Main Methods:

  • Leveraging information theory to define and quantify the information delivered by edge bundling visualizations.
  • Developing a new algorithm to measure mutual information between network datasets and their edge bundling visualizations.
  • Illustrating the advantages of edge bundling for large graphs and identifying sources of visual ambiguity.

Main Results:

  • An information-theoretic framework for evaluating edge bundling visualization quality has been established.
  • A quantitative measure of information delivered by edge bundling has been defined using information theory.
  • A novel algorithm for evaluating edge bundling layouts based on mutual information has been proposed and demonstrated.

Conclusions:

  • The proposed framework provides a theoretical basis for defending and comparing edge bundling methods.
  • Objective evaluation of edge bundling techniques is now possible, advancing the field of graph visualization.
  • This work facilitates the selection of optimal edge bundling algorithms for specific network visualization tasks.