Interactive Platform for the Visual Analysis of Suspicious Communication Patterns
Andres De La Puente, Juliano Genari, Marcelo Baez, Felipe A. Moreno, Jorge Poco
IEEE Visual Analytics Science & Technology (VAST) Challenge
Main view of our platform showing the Daily Communication Patterns visualization, this view displays message activity over 14 days, showing more activity in the morning and at night.
Publication Details
- Venue
- IEEE Visual Analytics Science & Technology (VAST) Challenge
- Year
- 2025
- Publication Date
- November 13, 2025
Materials
Abstract
This paper presents a visual analytics system for detecting hidden suspicious activities within communication networks. Developed for the VAST 2025 Challenge, it analyzes two weeks of maritime radio communications using temporal patterns, network and topic modeling, and pseudonym detection. Interactive visualizations reveal covert coordination, thematic clusters, and corruption linked to key individuals, demonstrating an effective approach for intelligence analysis of complex deception networks.
Cite this publication (BIBTEX)
@article{2025-SusComVis,
title={Interactive Platform for the Visual Analysis of Suspicious Communication Patterns},
author={Andres De La Puente and Juliano Genari and Marcelo Baez and Felipe A. Moreno and Jorge Poco},
journal={IEEE Visual Analytics Science & Technology (VAST) Challenge},
year={2025},
url={null},
date={2025-11-13}
}