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

Molecular Models02:00

Molecular Models

Physical models representing molecular architectures of chemical compounds play essential roles in understanding chemistry. The use of molecular models makes it easier to visualize the structures and shapes of atoms and molecules.
Methods of Documentation IV: Focus Charting01:26

Methods of Documentation IV: Focus Charting

Focus Charting, also known as the focus charting system or "focus documentation," is a systematic documentation approach used in healthcare to organize patient information in medical records.
It typically involves three columns for recording information:
pV-Diagrams01:18

pV-Diagrams

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...
Relation between Mathematical Equations and Block Diagrams01:20

Relation between Mathematical Equations and Block Diagrams

In a spring-mass-damper system, the second-order differential equation describes the dynamic behavior of the system. When transformed into the Laplace domain under zero initial conditions, this equation can be effectively analyzed and manipulated. The transformation into the Laplace domain converts differential equations into algebraic equations, simplifying the process of isolating the output.
Reason and Intuition01:37

Reason and Intuition

The human brain processes information for decision-making using one of two routes: an intuitive system and a rational system (Epstein, 1994; popularized by Kahneman, 2011 as System 1 and System 2, respectively). The intuitive system is quick, impulsive, and operates with minimal effort, relying on emotions or habits to provide cues for what to do next, while the rational system is logical, analytical, deliberate, and methodical. Research in neuropsychology suggests that the brain can only use...
Structural Organization of the Human Body: An Overview01:18

Structural Organization of the Human Body: An Overview

It is convenient to consider the body's structures in terms of fundamental levels of organization that increase in complexity: subatomic particles, atoms, molecules, organelles, cells, tissues, organs, organ systems, and organisms.
To study the chemical level of organization, scientists consider the simplest building blocks of matter: subatomic particles, atoms, and molecules. All matter in the universe is composed of one or more unique pure substances called elements, familiar examples of...

You might also read

Related Articles

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

Sort by
Same author

Current Trends and Future Directions of Statistical Methods in Medical Research: A Scientometric Analysis.

Journal of evaluation in clinical practice·2025
Same author

An overview of Frontiers in Research Metrics and Analytics.

Frontiers in research metrics and analytics·2024
Same author

Twenty years of research on borderline personality disorder: a scientometric analysis of hotspots, bursts, and research trends.

Frontiers in psychiatry·2024
Same author

Half a Century of Research on Posttraumatic Stress Disorder: A Scientometric Analysis.

Current neuropharmacology·2023
Same author

Ultrasonographic diagnosis of ovarian tumors through the deep convolutional neural network.

Ginekologia polska·2023
Same author

The trend of breeding value research in animal science: bibliometric analysis.

Archives animal breeding·2023
Same journal

FGO-SLAM++: Real-time Geometry-Aware Gaussian SLAM with Continuous Opacity Field.

IEEE transactions on visualization and computer graphics·2026
Same journal

Blue Noise Dithering for Reservoir-based Spatio-temporal Importance Resampling.

IEEE transactions on visualization and computer graphics·2026
Same journal

ROS-GS: Relightable Outdoor Scenes With Gaussian Splatting.

IEEE transactions on visualization and computer graphics·2026
Same journal

MesoSplats: Texture Synthesis with Gaussian Splatting.

IEEE transactions on visualization and computer graphics·2026
Same journal

GLLA: A Unified Force-Directed Graph Layout Framework Supporting Local Adjustments.

IEEE transactions on visualization and computer graphics·2026
Same journal

Multi-Perception Crowd: Learning to combine entity and implicit perception for diverse crowd simulation.

IEEE transactions on visualization and computer graphics·2026
See all related articles

Related Experiment Videos

Visualizing the intellectual structure with paper-reference matrices.

Jian Zhang1, Chaomei Chen, Jiexun Li

  • 1Drexel University, USA. jz85@drexel.edu

IEEE Transactions on Visualization and Computer Graphics
|October 17, 2009
PubMed
Summary
This summary is machine-generated.

This study introduces a novel FP-tree visualization method for analyzing scientific domains. It reveals detailed intellectual structures and co-citation relationships more effectively than traditional node-link networks.

Related Experiment Videos

Area of Science:

  • Bibliometrics
  • Information Science
  • Computer Science

Background:

  • Visualizing scientific domain intellectual structures is crucial for domain analysis.
  • Conventional methods use reference-reference matrices and node-link networks, which can obscure detailed structures within tightly knit clusters.

Purpose of the Study:

  • To propose a new approach for revealing co-citation relationships.
  • To develop a visualization method that overcomes limitations of existing techniques for analyzing complex scientific domains.

Main Methods:

  • Directly utilizing the paper-reference matrix as the information source.
  • Transforming the paper-reference matrix into an FP-tree structure.
  • Developing a Java-based prototype system for visualizing the FP-tree.

Main Results:

  • The FP-tree visualization effectively retains major co-citation relationship information.
  • The proposed method reveals more detailed sub-structures within tightly knit clusters compared to node-link networks.
  • Successful application demonstrated on Information Visualization and Sloan Digital Sky Survey (SDSS) domains.

Conclusions:

  • The FP-tree-based visualization offers a more insightful representation of scientific domain intellectual structures.
  • This approach enhances the ability to analyze complex and densely connected research areas.
  • The method provides a valuable tool for bibliometric and domain analysis research.