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 Experiment Videos

MatrixExplorer: a dual-representation system to explore social networks.

Nathalie Henry1, Jean-Daniel Fekete

  • 1INRIA Futurs/LRI. Nathalie.henry@lri.fr

IEEE Transactions on Visualization and Computer Graphics
|November 4, 2006
PubMed
Summary

MatrixExplorer enhances social network analysis with synchronized node-link and matrix views. This system offers novel matrix-based tools for researchers to explore complex network data effectively.

Related Concept Videos

You might also read

Related Articles

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

Sort by
Same author

Beyond Log Scales: Toward Cognitively Informed Bar Charts for Orders of Magnitude Values.

IEEE transactions on visualization and computer graphics·2025
Same author

Pulmonary syphilis mimicking lung metastasis: a case report.

Annals of medicine and surgery (2012)·2025
Same author

Visualization-Driven Illumination for Density Plots.

IEEE transactions on visualization and computer graphics·2024
Same author

A Survey on Progressive Visualization.

IEEE transactions on visualization and computer graphics·2023
Same author

Scalability in Visualization.

IEEE transactions on visualization and computer graphics·2023
Same author

Studying Early Decision Making with Progressive Bar Charts.

IEEE transactions on visualization and computer graphics·2022

Area of Science:

  • Social Network Analysis
  • Information Visualization
  • Human-Computer Interaction

Background:

  • Social network analysis commonly uses node-link diagrams, but matrix representations offer complementary insights.
  • Existing visualization systems often lack robust support for matrix-based network exploration.
  • Social science researchers require effective tools for analyzing complex network structures.

Purpose of the Study:

  • To introduce MatrixExplorer, a novel network visualization system.
  • To provide enhanced matrix-based visualization and analysis capabilities for social networks.
  • To synchronize matrix and node-link representations for a comprehensive user experience.

Main Methods:

  • Design based on interviews and participatory sessions with social science researchers.

Related Experiment Videos

  • Implementation of a system supporting both node-link diagrams and matrix representations.
  • Development of novel features for matrix manipulation, including reordering, annotation, and comparison.
  • Integration of standard interactive filtering and clustering functionalities.
  • Synchronization of matrix and node-link views throughout the exploration process.

    • Main Results:

    • MatrixExplorer offers unique tools for matrix-based social network analysis.
    • The system facilitates reordering, annotation, comparison, and consensus finding for matrices.
    • Node-link views are integrated for familiar visualization and communication of results.
    • Matrix and node-link representations are kept synchronized, enhancing usability.

    Conclusions:

    • MatrixExplorer effectively addresses the need for advanced matrix-based network visualization tools.
    • The system empowers social science researchers with enhanced capabilities for network exploration and analysis.
    • Synchronized dual representations improve the understanding and communication of social network structures.