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ViNCent: Visualization of Network Centralities
Linnaeus University, Faculty of Science and Engineering, School of Computer Science, Physics and Mathematics. (ISOVIS)ORCID iD: 0000-0002-0519-2537
Linnaeus University, Faculty of Science and Engineering, School of Computer Science, Physics and Mathematics. (ISOVIS)ORCID iD: 0000-0003-3654-0255
2012 (English)In: Proceedings of the International Conference on Information Visualization Theory and Applications (IVAPP '12), SciTePress , 2012, 703-712 p.Conference paper, (Refereed)
Abstract [en]

The use of network centralities in the field of network analysis plays an important role when the relative importanceof nodes within the network topology should be rated. A single network can easily be represented by theuse of standard graph drawing algorithms, but not only the exploration of one centrality might be important:the comparison of two or more of them is often crucial for a better understanding. When visualizing the comparisonof several network centralities, we are facing new problems of how to show them in a meaningful way.For instance, we want to be able to track all the changes of centralities in the networks as well as to displaythe single networks as best as possible. In the life sciences, centrality measures help scientists to understandthe underlying biological processes and have been successfully applied to different biological networks. Theaim of this paper is to present a novel system for the interactive visualization of biochemical networks and itscentralities. Researchers can focus on the exploration of the centrality values including the network structurewithout dealing with visual clutter or occlusions of nodes. Simultaneously, filtering based on statistical dataconcerning the network elements and centrality values supports this.

Place, publisher, year, edition, pages
SciTePress , 2012. 703-712 p.
Keyword [en]
Centralities, Network Analysis, Visualization, Biological Networks, Graph Drawing, Coordinated Views
National Category
Computer Science
Research subject
Computer and Information Sciences Computer Science; Computer Science, Information and software visualization
Identifiers
URN: urn:nbn:se:lnu:diva-16065ISBN: 978-989-8565-02-0 (print)OAI: oai:DiVA.org:lnu-16065DiVA: diva2:464534
Conference
International Conference on Information Visualization Theory and Applications (IVAPP), Rome, 24-26 February, 2012
Available from: 2011-12-13 Created: 2011-12-13 Last updated: 2015-06-08Bibliographically approved

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CiteExportLink to record
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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
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  • asciidoc
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