We propose using graph theoretic results to develop an infrastructure that tracks movement from a display of one set of variables to another. The illustrative example throughout is the real-time morphing of one scatterplot into another. Hurley and Oldford (2008a) made extensive use of the graph having variables as nodes and edges indicating a paired relationship between them. The present paper introduces several new graphs derivable from this one whose traversals can be described as particular movements through high dimensional spaces. These are connected to known results in graph theory and the graph theoretic results applied to the problem of visualizing high-dimensional data
In this paper, we present a new approach to exploring dynamic graphs. We have developed a new cluste...
The visualization of large graphs in interactive applications, specifically on small devices, can ma...
International audienceIn this paper, we present a new approach to exploring dy- namic graphs. We fir...
We propose using graph theoretic results to develop an infrastructure that tracks movement from a d...
We introduce a novel interactive framework for visualizing and exploring high-dimensional datasets b...
Network graphs in certain applications, e.g., cloud-network graphs, have connections in multiple dim...
A graph theoretic approach is taken to the component order problem in the layout of statistical gra...
Information Visualization is an area of research concerned with the presentation of abstract data in...
Visualizing data is an essential part of good statistical practice. Plots are useful for revealing s...
Generally, a graph is an abstract data type used to represent relations among a given set of data en...
It is proposed that research into human perception can be applied in designing ways to represent str...
Networks are an exceedingly popular type of data for representing relationships between individuals,...
Abstract. Large high-resolution displays are potentially useful to pre-sent complex data at a higher...
Abstract—Many different approaches have been proposed for the challenging problem of visually analyz...
The analysis of large graphs plays a prominent role in various fields of research and is relevant in...
In this paper, we present a new approach to exploring dynamic graphs. We have developed a new cluste...
The visualization of large graphs in interactive applications, specifically on small devices, can ma...
International audienceIn this paper, we present a new approach to exploring dy- namic graphs. We fir...
We propose using graph theoretic results to develop an infrastructure that tracks movement from a d...
We introduce a novel interactive framework for visualizing and exploring high-dimensional datasets b...
Network graphs in certain applications, e.g., cloud-network graphs, have connections in multiple dim...
A graph theoretic approach is taken to the component order problem in the layout of statistical gra...
Information Visualization is an area of research concerned with the presentation of abstract data in...
Visualizing data is an essential part of good statistical practice. Plots are useful for revealing s...
Generally, a graph is an abstract data type used to represent relations among a given set of data en...
It is proposed that research into human perception can be applied in designing ways to represent str...
Networks are an exceedingly popular type of data for representing relationships between individuals,...
Abstract. Large high-resolution displays are potentially useful to pre-sent complex data at a higher...
Abstract—Many different approaches have been proposed for the challenging problem of visually analyz...
The analysis of large graphs plays a prominent role in various fields of research and is relevant in...
In this paper, we present a new approach to exploring dynamic graphs. We have developed a new cluste...
The visualization of large graphs in interactive applications, specifically on small devices, can ma...
International audienceIn this paper, we present a new approach to exploring dy- namic graphs. We fir...