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https://doi.org/10.1109/pacifi...
Article . 2018 . Peer-reviewed
Data sources: Crossref
DBLP
Conference object . 2024
Data sources: DBLP
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Optimal Algorithms for Compact Linear Layouts

Authors: Willem Sonke; Kevin Verbeek; Wouter Meulemans; Eric Verbeek 0001; Bettina Speckmann;

Optimal Algorithms for Compact Linear Layouts

Abstract

Linear layouts are a simple and natural way to draw a graph: all vertices are placed on a single line and edges are drawn as arcs between the vertices. Despite its simplicity, a linear layout can be a very meaningful visualization if there is a particular order defined on the vertices. Common examples of such ordered - and often also directed - graphs are event sequences and processes: public transport systems tracking passenger check-in and check-out, banks checking online transactions, or hospitals recording the paths of patients through their system, to name a few. A main drawback of linear layouts are the usually (very) large aspect ratios of the resulting drawings, which prevent users from obtaining a good overview of the whole graph. In this paper we present a novel and versatile algorithm to optimally fold a linear layout of a graph such that it can be drawn effectively in a specified aspect ratio, while still clearly communicating the linearity of the layout.

Country
Netherlands
Keywords

Graph/Network Data, Geometry based Techniques, Folding, Linear layouts, F.2.2 [Analysis of Algorithms and Problem Complexity]: Nonnumerical Algorithms and Problems, Routing and layout

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    popularity
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    influence
    This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
3
Average
Average
Average