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

Summarizing dynamic bipolar conflict structures.

Ulrik Brandes1, Daniel Fleischer, Jürgen Lerner

  • 1Department of Computer & Information Science, University of Konstanz, Germany. Ulrik.Brandes@uni-konstanz.de

IEEE Transactions on Visualization and Computer Graphics
|November 1, 2006
PubMed
Summary
This summary is machine-generated.

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

From stakeholder mapping to statistical modeling: an illustrative demonstration of end-to-end Net-Map methodology for health governance analysis.

Archives of public health = Archives belges de sante publique·2026
Same author

Processed food intake assortativity in the personal networks of older adults.

Scientific reports·2025
Same author

The Green Heart Project: objectives, design, and methods.

American journal of epidemiology·2024
Same author

Penalty shoot-outs are tough, but the alternating order is fair.

PloS one·2024
Same author

Cross-sectional personal network analysis of adult smoking in rural areas.

Royal Society open science·2024
Same author

Online Media Use and COVID-19 Vaccination in Real-World Personal Networks: Quantitative Study.

Journal of medical Internet research·2024
Same journal

Two-phase Impulse Fluid on Particle Flow Map.

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

This study introduces a visual method to map bilateral conflict structures from event data, highlighting key opponents and conflict dynamics for better understanding political events.

Area of Science:

  • Political Science
  • Data Visualization
  • Computational Social Science

Background:

  • Analyzing large-scale event data is crucial for understanding political conflicts.
  • Identifying key actors and conflict structures within event datasets presents a significant challenge.

Purpose of the Study:

  • To develop a novel method for the visual summarization of bilateral conflict structures.
  • To provide a clear graphic overview of conflict dynamics derived from event data.

Main Methods:

  • Projecting actors into a defined conflict space.
  • Utilizing time-stamped event data extracted from various sources.
  • Implementing smooth animation to visualize conflict dynamics over time.

Main Results:

Related Experiment Videos

  • Successfully highlighted main opponents within tens of thousands of events.
  • Generated a graphic overview of complex conflict structures.
  • Enabled dynamic visualization of conflict evolution.

Conclusions:

  • The proposed method offers an effective approach for visually analyzing and understanding bilateral conflict structures.
  • This visual summary aids in recognizing key players and the evolution of political conflicts.