Herl, N.-M., & Filipov, V. (2024). AdMaTilE: Visualizing Event-Based Adjacency Matrices in a Multiple-Coordinated-Views System. In S. Felsner & Karsten Klein (Eds.), 32nd International Symposium on Graph Drawing and Network Visualization (GD 2024) (pp. 46:1-46:3). https://doi.org/10.34726/7180
Conventional dynamic networks represent network changes via a discrete sequence of timeslices, which usually entails loss of information on fine-grained dynamics. Recently, event-based networks emerged as an approach to model this temporal (event-based) information more precisely. Adjacency-matrixbased visualizations of temporal networks are under-investigated in related literature and present a promising research direction for network visualization. Our approach AdMaTilE (Adjacency Matrix and Timeline Explorer) is designed to visualize event-based networks using multiple matrix views, timelines, difference maps, and staged transitions.
en
Project title:
SANE: Visual Analytics für Ereignisdiffusion in Netzwerken: I 6635-N (FWF - Österr. Wissenschaftsfonds)
CC BY 4.0
