dedup_wf_001--fd0989729397353df7c9829ba0c610f5

Graphs are powerful and versatile data structures that can be used to represent a wide range of different types of information. In this article, we introduce a method to analyze and then visualize an important class of data described over a graph—namely, ensembles of paths. Analysis of such path ensembles is useful in a variety of applications, in diverse fields such as transportation, computer networks, and molecular dynamics. The proposed method generalizes the concept of band depth to an ensemble of paths on a graph, which provides a center-outward ordering on the paths. This ordering is, in turn, used to construct a generalization of the conventional boxplot or whisker plot, called a path boxplot, which applies to paths on a graph. The utility of path boxplot is demonstrated for several examples of path ensembles including paths defined over computer networks and roads. Supplementary materials for this article are available online.

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PID https://www.doi.org/10.6084/m9.figshare.3485522.v1
PID https://www.doi.org/10.6084/m9.figshare.3485522
URL https://figshare.com/articles/Path_Boxplots_A_Method_for_Characterizing_Uncertainty_in_Path_Ensembles_on_a_Graph/3485522
URL https://dx.doi.org/10.6084/m9.figshare.3485522.v1
URL https://dx.doi.org/10.6084/M9.FIGSHARE.3485522
URL http://dx.doi.org/10.6084/m9.figshare.3485522
URL http://dx.doi.org/10.6084/m9.figshare.3485522.v1
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Access Right Open Access
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Author Mukund Raj
Author Mirzargar, Mahsa
Author Ricci, Robert
Author Kirby, Robert M.
Author Whitaker, Ross T.
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Collected From figshare; Datacite
Hosted By figshare
Publication Date 2016-07-28
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Language UNKNOWN
Resource Type Dataset
keyword FOS: Chemical sciences
keyword FOS: Mathematics
keyword FOS: Biological sciences
keyword FOS: Computer and information sciences
system:type dataset
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Source https://science-innovation-policy.openaire.eu/search/dataset?datasetId=dedup_wf_001::fd0989729397353df7c9829ba0c610f5
Author jsonws_user
Last Updated 3 January 2021, 22:11 (CET)
Created 3 January 2021, 22:11 (CET)