2 papers
cs.HC2025
STRive: An association rule-based system for the exploration of spatiotemporal categorical data
Mauro Diaz, Luis Sante, Joel Perca +3
Effectively analyzing spatiotemporal data plays a central role in understanding real-world phenomena and informing decision-making. Capturing the interaction between spatial and te…
cs.HC2025
ZigzagNetVis: Suggesting temporal resolutions for graph visualization using zigzag persistence
Raphaël Tinarrage, Jean R. Ponciano, Claudio D. G. Linhares +2
Temporal graphs are commonly used to represent complex systems and track the evolution of their constituents over time. Visualizing these graphs is crucial as it allows one to quic…