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Conference Paper/Proceeding/Abstract 1197 views 208 downloads

Drawing Dynamic Graphs Without Timeslices

Paolo Simonetto, Daniel Archambault Orcid Logo, Stephen Kobourov

Lecture Notes in Computer Science, Volume: 10692, Pages: 394 - 409

Swansea University Author: Daniel Archambault Orcid Logo

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DOI (Published version): 10.1007/978-3-319-73915-1_31

Abstract

Timeslices are often used to draw and visualize dynamic graphs. While timeslices are a natural way to think about dynamic graphs, they are routinely imposed on continuous data. Often, it is unclear how many timeslices to select: too few timeslices can miss temporal features such as causality or even...

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Published in: Lecture Notes in Computer Science
ISBN: 9783319739144 9783319739151
ISSN: 0302-9743 1611-3349
Published: Cham Springer International Publishing 2018
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URI: https://cronfa.swan.ac.uk/Record/cronfa35081
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first_indexed 2017-09-03T18:53:33Z
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spelling 2022-06-16T15:46:44.2822894 v2 35081 2017-09-03 Drawing Dynamic Graphs Without Timeslices 8fa6987716a22304ef04d3c3d50ef266 0000-0003-4978-8479 Daniel Archambault Daniel Archambault true false 2017-09-03 SCS Timeslices are often used to draw and visualize dynamic graphs. While timeslices are a natural way to think about dynamic graphs, they are routinely imposed on continuous data. Often, it is unclear how many timeslices to select: too few timeslices can miss temporal features such as causality or even graph structure while too many timeslices slows the drawing computation. We present a model for dynamic graphs which is not based on timeslices, and a dynamic graph drawing algorithm, DynNoSlice, to draw graphs in this model. In our evaluation, we demonstrate the advantages of this approach over timeslicing on continuous data sets. Conference Paper/Proceeding/Abstract Lecture Notes in Computer Science 10692 394 409 Springer International Publishing Cham 9783319739144 9783319739151 0302-9743 1611-3349 21 1 2018 2018-01-21 10.1007/978-3-319-73915-1_31 COLLEGE NANME Computer Science COLLEGE CODE SCS Swansea University This work was funded by EPSRC First Grant EP/N005724/1. 2022-06-16T15:46:44.2822894 2017-09-03T15:40:16.9474183 Faculty of Science and Engineering School of Mathematics and Computer Science - Computer Science Paolo Simonetto 1 Daniel Archambault 0000-0003-4978-8479 2 Stephen Kobourov 3 0035081-03092017154428.pdf dynoslice.pdf 2017-09-03T15:44:28.8770000 Output 373761 application/pdf Accepted Manuscript true 2018-09-03T00:00:00.0000000 true eng
title Drawing Dynamic Graphs Without Timeslices
spellingShingle Drawing Dynamic Graphs Without Timeslices
Daniel Archambault
title_short Drawing Dynamic Graphs Without Timeslices
title_full Drawing Dynamic Graphs Without Timeslices
title_fullStr Drawing Dynamic Graphs Without Timeslices
title_full_unstemmed Drawing Dynamic Graphs Without Timeslices
title_sort Drawing Dynamic Graphs Without Timeslices
author_id_str_mv 8fa6987716a22304ef04d3c3d50ef266
author_id_fullname_str_mv 8fa6987716a22304ef04d3c3d50ef266_***_Daniel Archambault
author Daniel Archambault
author2 Paolo Simonetto
Daniel Archambault
Stephen Kobourov
format Conference Paper/Proceeding/Abstract
container_title Lecture Notes in Computer Science
container_volume 10692
container_start_page 394
publishDate 2018
institution Swansea University
isbn 9783319739144
9783319739151
issn 0302-9743
1611-3349
doi_str_mv 10.1007/978-3-319-73915-1_31
publisher Springer International Publishing
college_str Faculty of Science and Engineering
hierarchytype
hierarchy_top_id facultyofscienceandengineering
hierarchy_top_title Faculty of Science and Engineering
hierarchy_parent_id facultyofscienceandengineering
hierarchy_parent_title Faculty of Science and Engineering
department_str School of Mathematics and Computer Science - Computer Science{{{_:::_}}}Faculty of Science and Engineering{{{_:::_}}}School of Mathematics and Computer Science - Computer Science
document_store_str 1
active_str 0
description Timeslices are often used to draw and visualize dynamic graphs. While timeslices are a natural way to think about dynamic graphs, they are routinely imposed on continuous data. Often, it is unclear how many timeslices to select: too few timeslices can miss temporal features such as causality or even graph structure while too many timeslices slows the drawing computation. We present a model for dynamic graphs which is not based on timeslices, and a dynamic graph drawing algorithm, DynNoSlice, to draw graphs in this model. In our evaluation, we demonstrate the advantages of this approach over timeslicing on continuous data sets.
published_date 2018-01-21T03:43:32Z
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score 11.036334

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