Change search
CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • apa
  • harvard1
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf
A Billiard Metaphor for Exploring Complex Graphs
Högskolan i Skövde, Institutionen för informationsteknologi.
Högskolan i Skövde, Institutionen för informationsteknologi.
Högskolan i Skövde, Institutionen för informationsteknologi.ORCID iD: 0000-0003-2900-9335
Högskolan i Skövde, Institutionen för informationsteknologi.ORCID iD: 0000-0002-2929-0529
2017 (English)In: Second Workshop on Supporting Complex Search Tasks / [ed] Marijn Koolen, Jaap Kamps, Toine Bogers, Nick Belkin, Diane Kelly, Emine Yilmaz, 2017, p. 37-40Conference paper, Published paper (Refereed)
Abstract [en]

Exploring and revealing relations between the elements is a fre-quent task in exploratory analysis and search. Examples includethat of correlations of attributes in complex data sets, or facetedsearch. Common visual representations for such relations are di-rected graphs or correlation matrices. These types of visual encod-ings are often - if not always - fully constructed before being shownto the user. This can be thought of as a top-down approach, whereusers are presented with a full picture for them to interpret andunderstand. Such a way of presenting data could lead to a visualoverload, specially when it results in complex graphs with highdegrees of nodes and edges. We propose a bottom-up alternativecalled Billiard where few elements are presented at rst and fromwhich a user can interactively construct the rest based on whats/he nds of interest. The concept is based on a billiard metaphorwhere a cue ball (node) has an eect on other elements (associatednodes) when stroke against them.

Place, publisher, year, edition, pages
2017. p. 37-40
Series
CEUR Workshop Proceedings, E-ISSN 1613-0073 ; 1798
Keywords [en]
Visualization, interaction, correlation
National Category
Computer Systems
Research subject
Skövde Artificial Intelligence Lab (SAIL); INF301 Data Science
Identifiers
URN: urn:nbn:se:hj:diva-43238Scopus ID: 2-s2.0-85019592292Local ID: 0;0;miljJAILOAI: oai:DiVA.org:hj-43238DiVA, id: diva2:1293757
Conference
Second Workshop on Supporting Complex Search Tasks co-located with the ACM SIGIR Conference on Human Information Interaction & Retrieval (CHIIR 2017), Oslo, Norway, March 11, 2017
Available from: 2018-02-27 Created: 2019-03-05 Last updated: 2019-08-23Bibliographically approved

Open Access in DiVA

No full text in DiVA

Other links

Scopushttp://ceur-ws.org/Vol-1798/paper9.pdf

Authority records BETA

Ventocilla, ElioBae, JuheeRiveiro, MariaSaid, Alan

Search in DiVA

By author/editor
Ventocilla, ElioBae, JuheeRiveiro, MariaSaid, Alan
Computer Systems

Search outside of DiVA

GoogleGoogle Scholar

urn-nbn

Altmetric score

urn-nbn
Total: 7 hits
CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • apa
  • harvard1
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf