Dynamic networks can be challenging to analyze visually, especially if they span a large time range during which new nodes and edges can appear and disappear. Although it is straightforward to provide interfaces for visualization that represent multiple states of the network (i.e., multiple timeslices) either simultaneously (e.g., through small multiples) or interactively (e.g., through interactive animation), these interfaces might not support tasks in which disjoint timeslices need to be compared. Since these tasks are key for understanding the dynamic aspects of the network, understanding which interactive visualizations best support these tasks is important. We present the results of a series of laboratory experiments comparing two trad...
Abstract—The analysis of large dynamic networks poses a challenge in many fields, ranging from large...
In this paper, we describe an interactive visualization tool for representing the dynamics of graph ...
International audienceIn this paper, we present the results of a human computer interaction experime...
International audienceWe present GraphDiaries, an interface for temporal navigation in networks chan...
International audienceIdentifying, tracking and understanding changes in dynamic networks are comple...
Dynamic graph drawing algorithms take as input a series of timeslices that standard, force-directed ...
Graph drawing algorithms have classically addressed the layout of static graphs. However, the need t...
Several techniques for visualization of dynamic graphs are based on different spatial arrangements o...
Network data that changes over time can be very useful for studying a wide range of important phenom...
Timeslices are often used to draw and visualize dynamic graphs. While timeslices are a natural way t...
Temporal networks are widely used to map phenomena into complex systems in several research discipli...
In this paper, we present a new approach to exploring dynamic graphs. We have developed a new cluste...
Animation and small multiples are methods for visualising dynamically evolving graphs. Animations pr...
In temporal (or event-based) networks, time is a continuous axis, with real-valued time coordinates ...
The concept of networks has been important in the study of complex systems. In networks, links conne...
Abstract—The analysis of large dynamic networks poses a challenge in many fields, ranging from large...
In this paper, we describe an interactive visualization tool for representing the dynamics of graph ...
International audienceIn this paper, we present the results of a human computer interaction experime...
International audienceWe present GraphDiaries, an interface for temporal navigation in networks chan...
International audienceIdentifying, tracking and understanding changes in dynamic networks are comple...
Dynamic graph drawing algorithms take as input a series of timeslices that standard, force-directed ...
Graph drawing algorithms have classically addressed the layout of static graphs. However, the need t...
Several techniques for visualization of dynamic graphs are based on different spatial arrangements o...
Network data that changes over time can be very useful for studying a wide range of important phenom...
Timeslices are often used to draw and visualize dynamic graphs. While timeslices are a natural way t...
Temporal networks are widely used to map phenomena into complex systems in several research discipli...
In this paper, we present a new approach to exploring dynamic graphs. We have developed a new cluste...
Animation and small multiples are methods for visualising dynamically evolving graphs. Animations pr...
In temporal (or event-based) networks, time is a continuous axis, with real-valued time coordinates ...
The concept of networks has been important in the study of complex systems. In networks, links conne...
Abstract—The analysis of large dynamic networks poses a challenge in many fields, ranging from large...
In this paper, we describe an interactive visualization tool for representing the dynamics of graph ...
International audienceIn this paper, we present the results of a human computer interaction experime...