We introduce object-centric temporal navigation for time-varying information visualizations. In our approach, navigation through time is controlled by interacting directly with any data item, enabling simultaneous exploration of the time dimension while focusing on the changing item. Subtle visualizations of a data item???s temporal trend are provided to guide navigation. To demonstrate how object-centric navigation can be designed for different types of dynamic visualizations, we created two techniques: DimpVis, for exploring changing visual variables in different information visualizations, and Glidgets, for exploring topological changes in dynamic graphs. Both techniques enable intuitive investigation of spatial queries. For example, usi...
Time is an essential notion and common attribute in information science. Through the addition of the...
International audienceModern analytics solutions succeed to under- stand and predict phenomenons in ...
Complexity and scale of modern data is at its highest level but its temporal properties are often ne...
International audienceWe present GraphDiaries, an interface for temporal navigation in networks chan...
International audienceWe review a range of temporal data visualization techniques through a new lens...
Designing visualizations for exploration of temporal data requires several choices based on aspects ...
In this thesis, I present a new paradigm for the analysis of spatio-temporal data--one that seamless...
Advances in technology now make it possible to capture detailed multimodal data about real-world eve...
Various time-based visualization techniques have been designed to support the temporal analysis of d...
International audienceIdentifying, tracking and understanding changes in dynamic networks are comple...
International audienceWe introduce time curves as a general approach for visualizing patterns of evo...
International audienceThe research findings provide evidence that time-oriented data visualizations ...
The primary goal for collecting and analyzing temporal data differs between individuals and their do...
This thesis considers the tasks involved in exploratory analysis of temporal graph data, and the vis...
Dynamic networks can be challenging to analyze visually, especially if they span a large time range ...
Time is an essential notion and common attribute in information science. Through the addition of the...
International audienceModern analytics solutions succeed to under- stand and predict phenomenons in ...
Complexity and scale of modern data is at its highest level but its temporal properties are often ne...
International audienceWe present GraphDiaries, an interface for temporal navigation in networks chan...
International audienceWe review a range of temporal data visualization techniques through a new lens...
Designing visualizations for exploration of temporal data requires several choices based on aspects ...
In this thesis, I present a new paradigm for the analysis of spatio-temporal data--one that seamless...
Advances in technology now make it possible to capture detailed multimodal data about real-world eve...
Various time-based visualization techniques have been designed to support the temporal analysis of d...
International audienceIdentifying, tracking and understanding changes in dynamic networks are comple...
International audienceWe introduce time curves as a general approach for visualizing patterns of evo...
International audienceThe research findings provide evidence that time-oriented data visualizations ...
The primary goal for collecting and analyzing temporal data differs between individuals and their do...
This thesis considers the tasks involved in exploratory analysis of temporal graph data, and the vis...
Dynamic networks can be challenging to analyze visually, especially if they span a large time range ...
Time is an essential notion and common attribute in information science. Through the addition of the...
International audienceModern analytics solutions succeed to under- stand and predict phenomenons in ...
Complexity and scale of modern data is at its highest level but its temporal properties are often ne...