lnu.sePublications
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
Analyzing Multiple Network Centralities with ViNCent
Linnaeus University, Faculty of Science and Engineering, School of Computer Science, Physics and Mathematics. (ISOVIS)ORCID iD: 0000-0003-3654-0255
Linnaeus University, Faculty of Science and Engineering, School of Computer Science, Physics and Mathematics. (ISOVIS)ORCID iD: 0000-0001-6745-4398
Linnaeus University, Faculty of Science and Engineering, School of Computer Science, Physics and Mathematics. (ISOVIS)ORCID iD: 0000-0002-0519-2537
2012 (English)In: Proceedings of SIGRAD 2012: Interactive Visual Analysis of Data, November 29-30, 2012, Växjö, Sweden, / [ed] Andreas Kerren and Stefan Seipel, Linköping: Linköping University Electronic Press, 2012, 87-90 p.Conference paper, Published paper (Refereed)
Abstract [en]

The analysis of multivariate networks is an important task in various application domains, such as social networkanalysis or biochemistry. In this paper, we address the interactive visual analysis of the results of centralitycomputations in context of networks. An important analytical aspect is to examine nodes according to specific centralityvalues and to compare them. We present a tool that combines exploratory data visualization with automaticanalysis techniques, such as computing a variety of centrality values for network nodes as well as hierarchicalclustering or node reordering based on centrality values. Automatic and interactive approaches are seamlesslyintegrated in one single tool which provides insight into the importance of an individual node or groups of nodesand allows quantifying the network structure.

Place, publisher, year, edition, pages
Linköping: Linköping University Electronic Press, 2012. 87-90 p.
Series
Linköping Electronic Conference Proceedings, ISSN 1650-3686 ; 81
Keyword [en]
Network centralities, network visualization, clustering, information visualization, visual analytics, interaction
National Category
Computer Science
Research subject
Computer Science, Information and software visualization
Identifiers
URN: urn:nbn:se:lnu:diva-22586ISBN: 978-91-7519-723-4 (print)OAI: oai:DiVA.org:lnu-22586DiVA: diva2:571510
Conference
SIGRAD 2012 Conference on Interactive Visual Analysis of Data, Växjö, Sweden, November 29-30, 2012
Available from: 2012-11-22 Created: 2012-11-22 Last updated: 2015-06-08Bibliographically approved

Open Access in DiVA

No full text

Other links

http://www.ep.liu.se/ecp/081/012/ecp12081012.pdf

Authority records BETA

Zimmer, BjörnJusufi, IlirKerren, Andreas

Search in DiVA

By author/editor
Zimmer, BjörnJusufi, IlirKerren, Andreas
By organisation
School of Computer Science, Physics and Mathematics
Computer Science

Search outside of DiVA

GoogleGoogle Scholar

isbn
urn-nbn

Altmetric score

isbn
urn-nbn
Total: 123 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