CHI '86 Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
LifeLines: visualizing personal histories
Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
Complete Idiot's Guide to Online Genealogy
Complete Idiot's Guide to Online Genealogy
SpaceTree: Supporting Exploration in Large Node Link Tree, Design Evolution and Empirical Evaluation
INFOVIS '02 Proceedings of the IEEE Symposium on Information Visualization (InfoVis'02)
DOITrees revisited: scalable, space-constrained visualization of hierarchical data
Proceedings of the working conference on Advanced visual interfaces
Interactive Visualization of Genealogical Graphs
INFOVIS '05 Proceedings of the Proceedings of the 2005 IEEE Symposium on Information Visualization
Design considerations for collaborative visual analytics
Information Visualization - Special issue on visual analytics science and technology
Degree-of-interest trees: a component of an attention-reactive user interface
Proceedings of the Working Conference on Advanced Visual Interfaces
“Search, Show Context, Expand on Demand”: Supporting Large Graph Exploration with Degree-of-Interest
IEEE Transactions on Visualization and Computer Graphics
Crowdsourcing graphical perception: using mechanical turk to assess visualization design
Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
Visualisation interactive de données temporelles: un aperçu de l'état de l'art
Conference Internationale Francophone sur I'Interaction Homme-Machine
Branch-explore-merge: facilitating real-time revision control in collaborative visual exploration
Proceedings of the 2012 ACM international conference on Interactive tabletops and surfaces
Visualizing the evolution of community structures in dynamic social networks
EuroVis'11 Proceedings of the 13th Eurographics / IEEE - VGTC conference on Visualization
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We present TimeNets, a new visualization technique for genealogical data. Most genealogical diagrams prioritize the display of generational relations. To enable analysis of families over time, TimeNets prioritize temporal relationships in addition to family structure. Individuals are represented using timelines that converge and diverge to indicate marriage and divorce; directional edges connect parents and children. This representation both facilitates perception of temporal trends and provides a substrate for communicating non-hierarchical patterns such as divorce, remarriage, and plural marriage. We also apply degree-of-interest techniques to enable scalable, interactive exploration. We present our design decisions, layout algorithm, and a study finding that TimeNets accelerate analysis tasks involving temporal data.